2009年第40卷增刊共收錄61篇
1. Accession number:20094612449975
Title:Characterization of soil clay minerals using mid-infrared spectroscopy and the application in soil identification
Authors:Du, Changwen1 ; Zhou, Guiqin1, 2 ; Deng, Jing1, 2 ; Zhou, Jianmin1 ; Wang, Huoyan1 ; Chen, Xiaoqin1
Author affiliation:1 State Key Laboratory of Soil and Agricultural Sustainability, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China 2 Graduate University of Chinese Academy of Sciences, Beijing 100049, China
Corresponding author:Du, C. ([email protected])
Source title:Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery
Abbreviated source title:Nongye Jixie Xuebao
Volume:40
Issue:SUPPL. 1
Issue date:September 2009
Publication year:2009
Pages:154-158
Language:Chinese
ISSN:10001298
CODEN:NUYCA3
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Machinery, No. 1 Beishatan Deshengmen Wai, Beijing, 100083, China
Abstract: Characterization of three source clay minerals, illite, kaolin and montmorillonite, were made using three mid-infrared spectroscopic techniques (attenuated total reflectance (FTIR-ATR), transmittance spectroscopy, and photoacoustic spectroscopy (FTIR-PAS)). For the FTIR transmittance spectra, there are three main absorption regions: 3000-3800 cm-1, 1300-1800 cm-1, and 500-1200 cm-1, and sharp differences can be found in each region. For the FTIR-ATR spectra, there are absorptions with main difference in the region of 800-1200 cm-1. For the FTIR-PAS spectra, there are also three similar absorption regions as FTIR transmittance spectra. However more information is found in the FTIR-PAS spectra comparing with FTIR transmittance absorptions. The FTIR-PAS was applied to identify three soil types and the results revealed that: Hailun soil was characterized as montmorillonite type soil with medium calcium carbonate content, Changwu soil was characterized as montmorillonite/illite type soil with high calcium carbonate content, and Qiyang soil was characterized as kaolin type soil with low calcium carbonate content.
Number of references:17
Main heading:Fourier transform infrared spectroscopy
Controlled terms: Absorption - Calcium - Calcium alloys - Carbonates - Carbonation - Clay - Infrared devices - Kaolin - Minerals - Photoacoustic spectroscopy - Silicate minerals - Spectroscopic analysis - Spectroscopy
Uncontrolled terms:Absorption region - Attenuated total reflectance - Calcium carbonate - FT-IR-ATR - FTIR - FTIR-ATR spectra - FTIR-PAS - Mid-infrared spectroscopy - Midinfrared - Soil clay - Soil clay minerals - Soil types - Transmittance spectra
Classification code:804.2 Inorganic Compounds - 812.1 Ceramics - 921.4 Combinatorial Mathematics, Includes Graph Theory, Set Theory - 802.3 Chemical Operations - 931.1 Mechanics - 931.3 Atomic and Molecular Physics - 932.2 Nuclear Physics - 931.2 Physical Properties of Gases, Liquids and Solids - 802.2 Chemical Reactions - 482.2 Minerals - 483.1 Soils and Soil Mechanics - 549.2 Alkaline Earth Metals - 414.2 Brick Materials - 741.1 Light/Optics - 751.1 Acoustic Waves - 801 Chemistry - 741.3 Optical Devices and Systems
Database:Compendex
Compilation and indexing terms, ? 2009 Elsevier Inc.
2. Accession number:20094612449993
Title:Dormant of wireless sensor networks for precision irrigation
Authors:Xu, Gang1 ; Chen, Liping1 ; Zhang, Ruirui1
Author affiliation:1 National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China
Corresponding author:Chen, L. ([email protected])
Source title:Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery
Abbreviated source title:Nongye Jixie Xuebao
Volume:40
Issue:SUPPL. 1
Issue date:September 2009
Publication year:2009
Pages:232-236
Language:Chinese
ISSN:10001298
CODEN:NUYCA3
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Machinery, No. 1 Beishatan Deshengmen Wai, Beijing, 100083, China
Abstract: According to the requirements for precision agriculture applications, the commonly-used node power supply in sensor networks and its characteristics are analyzed. To extend the node lifecycle powered by ordinary dry-cell batteries, an application layer operated node dormant/synchronization mechanism is proposed and a duty cycle computing method depending on the node lifecycle expectation and data acquisition demands is also provided, based on the node energy analysis. Finally, this dormant/synchronization mechanisms is realized on actual sensor networks nodes, and a large number of experiments were executed at Xiaotangshan agricultural bases of the National Engineering Research Center for Information Technology in Agriculture. The experimental results show that the node with dormant design increases its lifetime from about 150 hours to more than one year.
Number of references:15
Main heading:Wireless sensor networks
Controlled terms:Electric power supplies to apparatus - Electric power utilization - Energy management - Irrigation - Sensor networks - Wireless telecommunication systems
Uncontrolled terms:Application layers - Computing methods - Dormant - Duty cycles - Node energy - Power consumption - Power supply - Precision Agriculture - Precision irrigation
Classification code:732 Control Devices - 731.1 Control Systems - 722.4 Digital Computers and Systems - 722.3 Data Communication, Equipment and Techniques - 717 Optical Communication - 821.3 Agricultural Methods - 716.3 Radio Systems and Equipment - 715.2 Industrial Electronic Equipment - 713.5 Other Electronic Circuits - 706.1 Electric Power Systems - 525 Energy Management and Conversion - 716 Telecommunication; Radar, Radio and Television
Database:Compendex
Compilation and indexing terms, ? 2009 Elsevier Inc.
3. Accession number:20094612449962
Title:Estimation of citrus yield based on image processing
Authors:Zhang, Yajing1 ; Deng, Lie2 ; Li, Minzan1 ; Zhao, Ruijiao1 ; He, Shaolan2 ; Yi, Shilai2
Author affiliation:1 Key Laboratory of Modern Precision Agriculture System Integration Research, Ministry of Education, China Agricultural University, Beijing 100083, China 2 Citrus Research Institute, Chinese Academy of Agricultural Sciences, Chongqing 400712, China
Corresponding author:Li, M. ([email protected])
Source title:Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery Abbreviated source title:Nongye Jixie Xuebao
Volume:40
Issue:SUPPL. 1
Issue date:September 2009
Publication year:2009
Pages:97-99
Language:Chinese
ISSN:10001298
CODEN:NUYCA3
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Machinery, No. 1 Beishatan Deshengmen Wai, Beijing, 100083, China
Abstract: The estimation of citrus yield is important to citrus precision management. Fast non-destroyed measure could be achieved using machine vision technology. Ten images of citrus were used in this experiment and yield of each tree was measured in advance. The citrus image was segmented based on the RGB color model. The segment condition for citrus and background is: (R-B>100) & (R>G). The total number, the total perimeter and total area of citrus were computed from the segmented image. The relationship between each image parameter and citrus yield was analysis. The result of experiment shows that the correlation coefficient between the total citrus number and the yield of citrus is 0.97 and indicates that it is has good prospect in the future.
Number of references:8
Main heading:Computer vision
Controlled terms:Color - Digital image storage - Image segmentation
Uncontrolled terms:Citrus - Color feature - Correlation coefficient - Image parameters - Machine vision - Machine vision technologies - RGB Color Model - Segmented images - Yield
Classification code:741.2 Vision - 741.1 Light/Optics - 731.6 Robot Applications - 741.3 Optical Devices and Systems - 723.5 Computer Applications - 722.4 Digital Computers and Systems - 722.1 Data Storage, Equipment and Techniques - 723.2 Data Processing and Image Processing
Database:Compendex
Compilation and indexing terms, ? 2009 Elsevier Inc.
4. Accession number:20094612449995
Title:Development of ARM-based wireless transmission system of soil moisture
Authors:Peng, Shengmin1, 2 ; Zhou, Xiuli2 ; Cheng, Xue2 ; Wang, Fulin2
Author affiliation:1 College of Engineering, Heilongjiang Bayi Agricultural University, Daqing 163319, China 2 School of Engineering, Northeast Agricultural University, Harbin 150030, China
Corresponding author:Peng, S. ([email protected])
Source title:Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery
Abbreviated source title:Nongye Jixie Xuebao
Volume:40
Issue:SUPPL. 1
Issue date:September 2009
Publication year:2009
Pages:241-243 231
Language:Chinese
ISSN:10001298
CODEN:NUYCA3
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Machinery, No. 1 Beishatan Deshengmen Wai, Beijing, 100083, China
Abstract: Measurement accuracy of agricultural soil has important significance in crop growth. ARM-based wireless transmission system of soil moisture was developed. Based on μCLinux operating system, GPRS wireless data transmission terminal including the data collection system and embedded system software was designed. In terms of characteristics of wireless transmission system of soil moisture, system application could improve the agricultural product quality.
Number of references:6
Main heading:Moisture determination
Controlled terms:Agricultural products - Atmospheric radiation - Computer operating systems - Embedded software - Groundwater - Permittivity - Soil moisture - Telecommunication systems - Transmissions
Uncontrolled terms:Agricultural soils - ARM - Crop growth - Data collection system - Measurement accuracy - Operating systems - System applications - Wireless data transmission - Wireless transmission - Wireless transmission systems
Classification code:944.2 Moisture Measurements - 821.4 Agricultural Products - 723 Computer Software, Data Handling and Applications - 722 Computer Systems and Equipment - 718 Telephone Systems and Related Technologies; Line Communications - 717 Optical Communication - 716 Telecommunication; Radar, Radio and Television - 708.1 Dielectric Materials - 701 Electricity and Magnetism - 602.2 Mechanical Transmissions - 483.1 Soils and Soil Mechanics - 444.2 Groundwater - 443.1 Atmospheric Properties
Database:Compendex
Compilation and indexing terms, ? 2009 Elsevier Inc.
5. Accession number:20094612449990
Title:Application of 1-wire technology in integrating control system of greenhouse
Authors:Lu, Zhenglin1 ; Chen, Yifei1 ; Sun, Qian1 ; Zuo, Yongshuai1 ; Chen, Xueliang1
Author affiliation:1 College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China
Corresponding author:Chen, Y. ([email protected])
Source title:Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery
Abbreviated source title:Nongye Jixie Xuebao
Volume:40
Issue:SUPPL. 1
Issue date:September 2009
Publication year:2009
Pages:219-222
Language:Chinese
ISSN:10001298
CODEN:NUYCA3
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Machinery, No. 1 Beishatan Deshengmen Wai, Beijing, 100083, China
Abstract: The control net with 1-wire technology is discussed. According to special need in greenhouse, the characteristics of integrating technology for control are analyzed, and with the 1-wire advanced technology, the performance of control net and integrating technology used in greenhouse control system is analyzed. On the other hand, the control system net using 1-wire is constructed according to the control requirement of greenhouse.
Number of references:8
Main heading:Technology
Controlled terms:Control theory - Greenhouses - Wire
Uncontrolled terms:1-wire technology - Advanced technology - Control requirements - Integrating control system - Integrating technology
Classification code:402.1 Industrial and Agricultural Buildings - 535.2 Metal Forming - 731.1 Control Systems - 821.6 Farm Buildings and Other Structures - 901 Engineering Profession
Database:Compendex
Compilation and indexing terms, ? 2009 Elsevier Inc.
6. Accession number:20094612449985
Title:Growth simulation and animation creation of corn based on skeleton model
Authors:Wang, Xue1 ; Guo, Xinyu2 ; Lu, Shenglian2 ; Wen, Weiliang2 ; Xiao, Boxiang2
Author affiliation:1 School of Information Science and Technology, Capital Normal University, Beijing 100048, China 2 National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China
Corresponding author:Guo, X. ([email protected])
Source title:Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery
Abbreviated source title:Nongye Jixie Xuebao
Volume:40
Issue:SUPPL. 1
Issue date:September 2009
Publication year:2009
Pages:198-201
Language:Chinese
ISSN:10001298
CODEN:NUYCA3
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Machinery, No. 1 Beishatan Deshengmen Wai, Beijing, 100083, China
Abstract: With the aim to achieve the quantified and visualized expression of crop growth, taking corn as an example, a simulation framework, which integrated parametric keyframe animation with the skeleton model was proposed. At first, a skeleton model for its topological structure was adopted, which was defined based on a precise geometric model. The dynamic creation of the parabolic curve of blade midrib integrated time variant was used to stimulate the elongation of leaf skeleton. With parametric keyframe technique, of which each keyframe parameters was acquired from the observed data or the output of corn growth model, the animation could be obtained by manual interaction. Experimental results showed that the proposed method could simulate the basic movements of corn growth visually with highly realistic rendering effects. It provides a simple and general dynamic process simulation for plant growth.
Number of references:10
Main heading:Simulators
Controlled terms:Animation - Crops - Plant life extension - Structural optimization - Visualization
Uncontrolled terms:Computer animation - Growth visualization - Parametric keyframe animation - Skeleton model - Virtual crop
Classification code:921.5 Optimization Techniques - 912.1 Industrial Engineering - 902.1 Engineering Graphics - 821.4 Agricultural Products - 742.1 Photography - 723.5 Computer Applications - 671 Naval Architecture - 662.1 Automobiles - 657.1 Solar Energy and Phenomena - 655.2 Satellites - 654.1 Rockets and Missiles - 621 Nuclear Reactors - 402.1 Industrial and Agricultural Buildings
Database:Compendex
Compilation and indexing terms, ? 2009 Elsevier Inc.
7. Accession number:20094612449946
Title:Automatic guidance system of agricultural vehicles based on CAN bus
Authors:Ji, Chaofeng1 ; Liu, Gang1 ; Zhou, Jianjun2 ; Zhang, Man1
Author affiliation: 1 Key Laboratory of Modern Precision Agriculture System Integration Research, Ministry of Education, China Agricultural University, Beijing 100083, China 2 National Engineering Research Center for Information Technology in Agriculture, Beijing 100089, China
Corresponding author:Liu, G. ([email protected])
Source title:Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery
Abbreviated source title:Nongye Jixie Xuebao
Volume:40
Issue:SUPPL. 1
Issue date:September 2009
Publication year:2009
Pages:28-32
Language:Chinese
ISSN:10001298
CODEN:NUYCA3
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Machinery, No. 1 Beishatan Deshengmen Wai, Beijing, 100083, China
Abstract: A navigation control system for agricultural machinery was developed based on CAN bus with the communication protocol of ISO 11783, which was the standardization for the exchange of information between different devices in the system. The system includes a control terminal, an acquisition unit of GPS signal, an acquisition unit of digital compass signal, an acquisition unit of angle sensor signal, and a steering control unit. A self-adaptive PID algorithm was adopted to perform steering control. The communication experiment proved the effectiveness of the system in collecting data and transmitting commands. Experimental results showed that the algorithm could quickly track target datum, and made the system have better dynamic response characteristics.
Number of references:11
Main heading:Adaptive control systems
Controlled terms:Adaptive algorithms - Agricultural machinery - Automobile steering equipment - Communication - Dynamic response - Mergers and acquisitions - Proportional control systems - Signal processing - Three term control systems - Two term control systems
Uncontrolled terms:Adaptive PID control - Agricultural vehicles - Angle sensors - Automatic guidance - CAN bus - Communication protocols - Communications data network - Control terminals - Digital compass - Exchange of information - GPS signals - Navigation control systems - Self-adaptive PID - Steering control
Classification code:912 Industrial Engineering and Management - 821.1 Agricultural Machinery and Equipment - 731.1 Control Systems - 723 Computer Software, Data Handling and Applications - 921 Mathematics - 716.1 Information Theory and Signal Processing - 663.2 Heavy Duty Motor Vehicle Components - 662.4 Automobile and Smaller Vehicle Components - 408.1 Structural Design, General - 716 Telecommunication; Radar, Radio and Television
Database:Compendex
Compilation and indexing terms, ? 2009 Elsevier Inc.
8. Accession number:20094612449952
Title:Development of grain flow sensor for yield monitor system
Authors:Wang, Bo1 ; Li, Minzan1 ; Zhang, Chenglong1 ; Zhang, Man1 ; Zhang, Wei1 ; Liu, Gang1
Author affiliation:1 Key Laboratory of Modern Precision Agriculture System Integration Research, Ministry of Education, China Agricultural University, Beijing 100083, China
Corresponding author:Li, M. ([email protected])
Source title:Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery
Abbreviated source title:Nongye Jixie Xuebao
Volume:40
Issue:SUPPL. 1
Issue date:September 2009
Publication year:2009
Pages:52-56
Language:Chinese
ISSN:10001298
CODEN:NUYCA3
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Machinery, No. 1 Beishatan Deshengmen Wai, Beijing, 100083, China
Abstract: Field information collection is the key technology of precision agriculture. To obtain the yield information, an impact-type grain flow sensor is developed for the yield monitor system. The grain flow sensor consists of a mechanical unit and an electrical unit. The mechanical unit is composed of an impact plate, a sensitive bar, some strain gauges, etc. The strain gauges are stuck on the sensitive bar. When grain flow impacts the plate, the bar bends and the bridge circuit consisted of the strain gauges outputs electrical signal. The output of the sensor is voltage signal. On the basis of the static experiments and indoor experiments, field experiments are finished in Baoding of Hebei Province and Jiamusi of Heilongjiang Province. Harvesting crops are wheat and rice. The results show that the sensor has higher linear property and the accuracy meets the requirements of the precision agriculture.
Number of references:13
Main heading:Grain (agricultural product)
Controlled terms:Agriculture - Bridge circuits - Experiments - Measurement theory - Sensors - Strain gages
Uncontrolled terms:Field experiment - Flow sensor - Power sensing board - Precision agriculture - Yield measuring system
Classification code:922 Statistical Methods - 901.3 Engineering Research - 821.4 Agricultural Products - 821 Agricultural Equipment and Methods; Vegetation and Pest Control - 943.1 Mechanical Instruments - 801 Chemistry - 713.5 Other Electronic Circuits - 703.1 Electric Networks - 422.1 Test Equipment - 732.2 Control Instrumentation
Database:Compendex
Compilation and indexing terms, ? 2009 Elsevier Inc.
9. Accession number:20094612449955
Title:Research on precise feeding system of dairy cattle
Authors:Fan, Yongcun1 ; Zhang, Changli1 ; Dong, Shoutian1 ; Tian, Lei2
Author affiliation:1 Engineering College, Northeast Agricultural University, Harbin 150030, China 2 Department of Agricultural and Biological Engineering, University of Illinois, Champaign 61801, United States
Corresponding author:Fan, Y. ([email protected])
Source title:Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery
Abbreviated source title:Nongye Jixie Xuebao
Volume:40
Issue:SUPPL. 1
Issue date:September 2009
Publication year:2009
Pages:65-68 64
Language:Chinese
ISSN:10001298
CODEN:NUYCA3
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Machinery, No. 1 Beishatan Deshengmen Wai, Beijing, 100083, China
Abstract: The precise feeding system and relevant key technologies, including RFID, network based on ZigBee, measuring technique etc, are discussed. The precise feeding system is composed of central computer, precise feeding devices and wireless network used to build up the distribute system. The core of the precise feeding device for dairy cattle is identification of individual dairy cattle. The RFID, a non-contact identification technology, is integrated in the system. The electrical ring made according to ISO11785 international standard is worn by individual dairy cattle to identify each dairy cattle. The information of the cattle is checked by the system and then certain amount of forage is given. On the course of intake, all feeding data are collected by the system such as the unique electrical code, actual intake of forage, feeding time, feeding velocity, etc. The feeding formula is given by the program running on central computer connected to precise feeding device by ZigBee network. Some interfaces of system are reserved for the extending function so that it will be easy to update system. The precise feeding system can provide a solution of high efficiency and high benefit for dairy farming.
Number of references:9
Main heading:Feeding
Controlled terms:Dairies - Electric codes - Electric wiring - Farm buildings - Materials handling equipment - Wireless networks
Uncontrolled terms:Dairy cattles - Dairy farming - Distribute systems - Electrical codes - Electrical ring - Feeding system - Feeding time - High efficiency - Identification of individuals - International standards - Key technologies - Measuring technique - Network-based - Non-contact - Precise feeding system - RFID - ZigBee - ZigBee networks
Classification code:902.2 Codes and Standards - 822.1 Food Products Plants and Equipment - 821.6 Farm Buildings and Other Structures - 722.4 Digital Computers and Systems - 722.3 Data Communication, Equipment and Techniques - 716.3 Radio Systems and Equipment - 708.2 Conducting Materials - 704.2 Electric Equipment - 691.2 Materials Handling Methods - 691.1 Materials Handling Equipment - 402.1 Industrial and Agricultural Buildings
Database:Compendex
Compilation and indexing terms, ? 2009 Elsevier Inc.
10. Accession number:20094612449989
Title: Intelligent fault diagnosis on greenhouse environment control system
Authors:Zuo, Zhiyu1 ; Mao, Hanping1
Author affiliation:1 Key Laboratory of Modern Agricultural Equipment and Technology, Ministry of Education and Jiangsu Province, Jiangsu University, Zhenjiang 212013, China
Corresponding author:Mao, H. ([email protected])
Source title:Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery
Abbreviated source title:Nongye Jixie Xuebao
Volume:40
Issue:SUPPL. 1
Issue date:September 2009
Publication year:2009
Pages:214-218
Language:Chinese
ISSN:10001298
CODEN:NUYCA3
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Machinery, No. 1 Beishatan Deshengmen Wai, Beijing, 100083, China
Abstract: A novel technique of fault diagnosis on greenhouse environment control system (GECS) was developed for more reliability. Major faults of actuators, sensors, switch board and control software in GECS were analyzed and listed. All GECS faults were divided into four grades according to their damage levels, and were treated respectively with different strategies and solutions. Two working modes, 'fast fault diagnosis' and 'complete fault diagnosis', were proposed to meet the requirement of both higher accuracy and rapidness. The idea of one-key setting was applied for different users. The intelligent programming was completed to carry out the fault diagnosis on GECS. The test results show that the faults are correctly detected and identified.
Number of references:9
Main heading:Program diagnostics
Controlled terms: Control theory - Failure analysis - Flight dynamics - Greenhouses
Uncontrolled terms:Control software - Damage level - Fault diagnosis - Greenhouse environment - Intelligent fault diagnosis - Novel techniques - Test results - Working mode
Classification code:931.1 Mechanics - 921 Mathematics - 821.6 Farm Buildings and Other Structures - 731.1 Control Systems - 723.1 Computer Programming - 654.1 Rockets and Missiles - 652.1 Aircraft, General - 421 Strength of Building Materials; Mechanical Properties - 402.1 Industrial and Agricultural Buildings
Database:Compendex
Compilation and indexing terms, ? 2009 Elsevier Inc.
11.Accession number:20094612449996
Title:Wireless data transmission technology for mobile agriculture terminal
Authors:Tang, Anning1 ; Wu, Caicong1 ; Zheng, Lihua2 ; Ji, Ronghua3 ; Chen, Xiuwan1 ; Fu, Cheng1
Author affiliation:1 Institute of Remote Sensing and GIS, Peking University, Beijing 100871, China 2 Key Laboratory of Modern Precision Agriculture System Integration Research, Ministry of Education, China Agricultural University, Beijing 100083, China 3 College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China
Corresponding author:Wu, C. ([email protected])
Source title:Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery
Abbreviated source title:Nongye Jixie Xuebao
Volume:40
Issue:SUPPL. 1
Issue date:September 2009
Publication year:2009
Pages:244-247
Language:Chinese
ISSN:10001298
CODEN:NUYCA3
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Machinery, No. 1 Beishatan Deshengmen Wai, Beijing, 100083, China
Abstract: The method of data management and transmission for the mobile and intelligent agriculture information service system is studied, and the application layer protocol for wireless data transmission between the mobile terminal and the upper computer is designed based on the TCP/IP. The type, format, and content of the wireless data transmission are studied. The application layer protocol considers the collection and transmission characteristics of agricultural information. Initial applications indicate that the application layer protocol is suitable to the mobile and intelligent agriculture information service system, and has certain versatility and expansibility. The application layer protocol standardization is advantageous in sharing agricultural information.
Number of references:8
Main heading:Wireless networks
Controlled terms:Agriculture - Computer terminals - Information retrieval - Information services - Mobile phones - Security of data
Uncontrolled terms:Application layer protocol - Application layer protocols - Data management - Mobile terminal - Precision agriculture - Transmission characteristics - Upper computer - Wireless data transmission - Wireless transmission
Classification code:903.3 Information Retrieval and Use - 821 Agricultural Equipment and Methods; Vegetation and Pest Control - 723.5 Computer Applications - 723.2 Data Processing and Image Processing - 903.4 Information Services - 722.4 Digital Computers and Systems - 722.2 Computer Peripheral Equipment - 718.1 Telephone Systems and Equipment - 716.3 Radio Systems and Equipment - 722.3 Data Communication, Equipment and Techniques
Database:Compendex
Compilation and indexing terms, ? 2009 Elsevier Inc.
12. Accession number:20094612449950
Title:Variable speed control system for precision magnetic drum-seeder based on DSP
Authors:Hu, Jianping1 ; Liu, Qi1 ; Wang, Qirui1 ; Yan, Junchao1
Author affiliation:1 Key Laboratory of Modern Agricultural Equipment and Technology, Ministry of Education and Jiangsu Province, Jiangsu University, Zhenjiang 212013, China
Corresponding author:Hu, J. ([email protected])
Source title:Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery
Abbreviated source title:Nongye Jixie Xuebao
Volume:40
Issue:SUPPL. 1
Issue date:September 2009
Publication year:2009
Pages:45-47 32
Language:Chinese
ISSN:10001298
CODEN:NUYCA3
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Machinery, No. 1 Beishatan Deshengmen Wai, Beijing, 100083, China
Abstract: The ratio of the single seedings, which is effected by the coefficient of the absorbing seeds directly, is an important parameter. The purpose of this paper is to design the variable control system for precision magnetic drum-seeder. In order to enhance the sowing efficiency, the roller is made speed-down when it is absorbing seeds, whereas it is made speed-up when it has absorbed or is sowing seeds. The variable control system embodies a F2812DSP controller, a PS2 keyboard and a photoelectricity sensor. Experiment shows that the efficiency has been raised by 16% and the ratio of single seedings is over 95%, when the speed of absorbing seeds is up to 16 r/min and the speed of absorbed and sowing seeds is up to 20 r/min.
Number of references:11
Main heading:Speed
Controlled terms:Control theory - Digital signal processors - Magnetic devices - Photoelectricity - Seed - Sensors - Speed control - Speed regulators
Uncontrolled terms:DSP - Magnetic drum - Magnetic drum-seeder - Ratio of single seedings - Speed-ups - Variable control systems - Variable speed control - Variable speed control system
Classification code:731.3 Specific Variables Control - 732.1 Control Equipment - 732.2 Control Instrumentation - 741.1 Light/Optics - 801 Chemistry - 821.4 Agricultural Products - 931.1 Mechanics - 731.1 Control Systems - 701.1 Electricity: Basic Concepts and Phenomena - 704 Electric Components and Equipment - 708.4 Magnetic Materials - 714 Electronic Components and Tubes - 716.1 Information Theory and Signal Processing - 722.4 Digital Computers and Systems - 723.2 Data Processing and Image Processing
Database:Compendex
Compilation and indexing terms, ? 2009 Elsevier Inc.
13. Accession number:20094612449999
Title:Development of a portable meter for detecting chlorophyll, nitrogen and water contents of plants
Authors:Han, Shuqing1 ; Yu, Bo1 ; Sun, Ming1 ; Huang, Wenjiang2 ; Liu, Liangyun3 ; Sun, Gang2
Author affiliation:1 College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China 2 National Engineering Research Center for Information Technology in Agriculture, Beijing 100097, China 3 Center for Earth Observation and Digital Earth, Chinese Academy of Sciences, Beijing 100190, China
Corresponding author:Sun, M. ([email protected])
Source title:Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery
Abbreviated source title:Nongye Jixie Xuebao
Volume:40
Issue:SUPPL. 1
Issue date:September 2009
Publication year:2009
Pages:256-259
Language:Chinese
ISSN:10001298
CODEN:NUYCA3
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Machinery, No. 1 Beishatan Deshengmen Wai, Beijing, 100083, China
Abstract: A new mathematical model for detecting the contents of chlorophyll, nitrogen and water of plants at the same time was established. Combined with the theory of spectroscopy, a portable meter for detecting the contents of chlorophyll, nitrogen and water in crop leaves was developed, which could avoid the error caused by different measuring time and different measuring location on the leaves when the three measuring parameters were accomplished by different instruments. The measurement result could give a better suggestion to precision fertilization and irrigation. The developed meter was composed of NIR (near infrared) LED (light emitting diode), interference filter, photodetector and microprocessor system.
Number of references:13
Main heading:Instruments
Controlled terms:Chlorophyll - Crops - Infrared devices - Light emitting diodes - Mathematical models - Metric system - Nitrogen - Nutrition - Physical optics - Porphyrins
Uncontrolled terms:Crop leaves - Detection - Interference filters - Measurement results - Measuring parameters - Microprocessor systems - Near Infrared - New mathematical model - Portable meter
Classification code:822.3 Food Products - 902.2 Codes and Standards - 921 Mathematics - 941 Acoustical and Optical Measuring Instruments - 942 Electric and Electronic Measuring Instruments - 943 Mechanical and Miscellaneous Measuring Instruments - 944 Moisture, Pressure and Temperature, and Radiation Measuring Instruments - 821.4 Agricultural Products - 461.7 Health Care - 714.2 Semiconductor Devices and Integrated Circuits - 741.1 Light/Optics - 741.3 Optical Devices and Systems - 801.2 Biochemistry - 804 Chemical Products Generally - 804.1 Organic Compounds
Database:Compendex
Compilation and indexing terms, ? 2009 Elsevier Inc.
14. Accession number:20094612449986
Title:3-D visualization of root system in situ based on XCT technology
Authors:Zhou, Xuecheng1 ; Luo, Xiwen1
Author affiliation:1 Key Laboratory of Key Technology on Agricultural Machine and Equipment, Ministry of Education, South China Agricultural University, Guangzhou 510642, China
Corresponding author:Luo, X. ([email protected])
Source title:Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery
Abbreviated source title:Nongye Jixie Xuebao
Volume:40
Issue:SUPPL. 1
Issue date:September 2009
Publication year:2009
Pages:202-205
Language:Chinese
ISSN:10001298
CODEN:NUYCA3
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Machinery, No. 1 Beishatan Deshengmen Wai, Beijing, 100083, China
Abstract: The root is an important plant organ for nutrient and water uptake from the surrounding soil. To solve the technical problem of 3-D observation for plant roots in situ, sequence images of plant roots in situ were acquired at first with using X-ray CT scanner, and then the 3-D visualization of roots in situ was implemented in computer using image and graph processing methods. In order to improve the accuracy of segmenting root CT images, a compositive segmentation algorithm was proposed and implemented based on the spatial geometrical and morphological features of root systems. The algorithm could clean markedly up the pixels of non-root regions of which the gray levels were very similar to roots regions and the positions were very closed to roots regions. 3-D surface models of plant roots were reconstructed with marching cubes (MC) algorithm, and 3-D visualization of plant roots in situ was implemented with the tool box of VTK. It was proved by programming experiment that the approach and methods proposed were feasible and effective for 3-D visualization of plant roots in situ.
Number of references:11
Main heading:Three dimensional
Controlled terms:Computerized tomography - Digital image storage - Imageprocessing - Three dimensional computer graphics - Visualization
Uncontrolled terms:3-D reconstruction - 3-D visualization - Compositive - CT Image - Graph processing - Gray levels - In-situ - Marching Cubes algorithm - Morphological features - Plant organs - Plant roots - Plant roots in situ - Root system - Segmentation algorithms - Sequence images - Surface models - Surrounding soils - Technical problem - Water uptake - X-ray CT - X-ray CT scanner
Classification code:801 Chemistry - 741.3 Optical Devices and Systems - 741.1 Light/Optics - 741 Light, Optics and Optical Devices - 723.5 Computer Applications - 902.1 Engineering Graphics - 723.2 Data Processing and Image Processing - 722.1 Data Storage, Equipment and Techniques - 531 Metallurgy and Metallography - 521.1 Fuel Combustion - 461.1 Biomedical Engineering - 722.4 Digital Computers and Systems
Database:Compendex
Compilation and indexing terms, ? 2009 Elsevier Inc.
15. Accession number:20094612449998
Title:Non-destructive crop canopy analyzer based on spectral principle
Authors:Li, Xiuhua1 ; Li, Minzan1 ; Cui, Di1
Author affiliation:1 Key Laboratory of Modern Precision
Agriculture System Integration Research, Ministry of
Education, China Agricultural University, Beijing 100083, China
Corresponding author:Li, M. ([email protected])
Source title:Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery
Abbreviated source title:Nongye Jixie Xuebao
Volume:40
Issue:SUPPL. 1
Issue date:September 2009
Publication year:2009
Pages:252-255 227
Language:Chinese
ISSN:10001298
CODEN:NUYCA3
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Machinery, No. 1 Beishatan Deshengmen Wai, Beijing, 100083, China
Abstract: In order to real-time detect the plant nitrogen content, a non-destructive crop growth analyzer is developed. It is made up of a sensor and a controller. The optical part of the sensor is made up of four optical channels and four photodiodes. Two channels receive the sunlight and the other two receive the reflected light from the crop canopy at the wavebands of 610 nm and 1220 nm. The circuit part of the sensor is made up of power supply unit, amplifying unit and a wireless module. The controller has functions such as keyboard input, LCD display, data storage, data upload, and so on. Calibration tests show that the optical part has a high accuracy and the wireless transmission also has a good performance. The field tests comparing with a commercial spectrometer (Quality Spec made by ASD Co.) also show an acceptable correlation of 0.52.
Number of references:5
Main heading:Light transmission
Controlled terms:Crops - Liquid crystal displays - Nitrogen - Sensors
Uncontrolled terms:Analyzer - Calibration tests - Crop canopy - Crop growth - Data storage - Field test - LCD displays - Nitrogen content - Non destructive - Optical channels - Optical parts - Power supply unit - Reflected light - Spectral principle - Two channel - Wavebands - Wireless module - Wireless transmissions
Classification code:821.4 Agricultural Products - 804 Chemical Products Generally - 801 Chemistry - 741.3 Optical Devices and Systems - 741.1 Light/Optics - 732.2 Control Instrumentation - 722.2 Computer Peripheral Equipment
Database:Compendex
Compilation and indexing terms, ? 2009 Elsevier Inc.
16. Accession number:20094612449941
Title:Development of automatic steering control system based on Dongfanghong tractor
Authors:Wu, Xiaopeng1 ; Zhao, Zuoxi1 ; Zhang, Zhigang1 ; Chen, Bin1 ; Hu, Lian1
Author affiliation:1 Key Laboratory of Key Technology on
Agricultural Machine and Equipment, Ministry of Education,
South China Agricultural University, Guangzhou 510642, China
Corresponding author:Zhao, Z. ([email protected])
Source title:Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery
Abbreviated source title:Nongye Jixie Xuebao
Volume:40
Issue:SUPPL. 1
Issue date:September 2009
Publication year:2009
Pages:1-5
Language:Chinese
ISSN:10001298
CODEN:NUYCA3
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Machinery, No. 1 Beishatan Deshengmen Wai, Beijing, 100083, China
Abstract: Automatic steering control plays an important part in an automatic navigation system. A Dongfanghong-X804 tractor is used as a platform and an electro-hydraulic proportional valve is added to the original manually operated steering system. The original circuit of the tractor is improved. An electronic control unit is designed to control the valve, which is composed of a microcomputer (C8051F040), an angle sensor (KMA199), and a CAN bus network. A SD card data storage system is realized for real-time storing experimental data. The experimental results show that the largest and the average signal tracking errors are 1.1° and 0.5°, respectively, and the average delay is 0.2 s. The automatic steering system has good response and can meets the performance requirements.
Number of references:9
Main heading:Data storage equipment
Controlled terms:Diffusers (optical) - Electronics industry - Microcomputers - Navigation - Power electronics - Sensor networks - Tractors (agricultural) - Tractors (truck)
Uncontrolled terms:Angle sensors - Automatic navigation systems - Automatic navigational tractor - Automatic steering - Automatic steering control - Average delay - CAN bus - Data storage systems - Electro-hydraulic proportional valve - Electro-hydraulics - Electronic control units - Experimental data - Performance requirements - Proportional valves - SD card data storage system - Signal tracking - Steering systems
Classification code:716.3 Radio Systems and Equipment - 722.1 Data Storage, Equipment and Techniques - 722.4 Digital Computers and Systems - 715.2 Industrial Electronic Equipment - 731.1 Control Systems - 741.3 Optical Devices and Systems - 821.1 Agricultural Machinery and Equipment - 732 Control Devices - 715 Electronic Equipment, General Purpose and Industrial - 434.4 Waterway Navigation - 655.1 Spacecraft, General - 663.1 Heavy Duty Motor Vehicles - 431.5 Air Navigation and Traffic Control - 712 Electronic and Thermionic Materials - 713.5 Other Electronic Circuits - 714 Electronic Components and Tubes - 713 Electronic Circuits
Database:Compendex
Compilation and indexing terms, ? 2009 Elsevier Inc.
17. Accession number:20094612449982
Title:Vision navigation based on agricultural non-structural characteristic
Authors:Cao, Qian1 ; Wang, Ku1
Author affiliation:1 College of Information and Electrical
Engineering, China Agricultural University, Beijing 100083,
China
Corresponding author:Wang, K. ([email protected])
Source title:Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery
Abbreviated source title:Nongye Jixie Xuebao
Volume:40
Issue:SUPPL. 1
Issue date:September 2009
Publication year:2009
Pages:187-189 104
Language:Chinese
ISSN:10001298
CODEN:NUYCA3
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Machinery, No. 1 Beishatan Deshengmen Wai, Beijing, 100083, China
Abstract: A navigation algorithm was studied, which as used to extract navigation route by machine vision based on agricultural non-structural characteristic. Firstly, a new algorithm was used to detect the ending region of farmland based on cluster's method. And then moving window was used to examine white pixels of the binary image to definite target regions. Finally, improved Hough transformation was used to extract navigation routes. The experiment proved that this algorithm can accurately extract the column information of green crops. The average time required for processing a 320 × 240 pixels color image was 57.404 ms and the accuracy of the recognition reached 99%.
Number of references:8
Main heading:Clustering algorithms
Controlled terms:Agricultural machinery - Carbon fiber reinforced plastics - Computer vision - Farms - Hough transforms - Navigation - Pixels - Routing algorithms
Uncontrolled terms:Cluster method - Color images - Farmland environment - Hough Transformation - Machine vision - Moving window - Navigation algorithms - Structural characteristics - Target regions - Vision navigation
Classification code:741.2 Vision - 742.2 Photographic Equipment - 817.1 Polymer Products - 731.6 Robot Applications - 821 Agricultural Equipment and Methods; Vegetation and Pest Control - 903.1 Information Sources and Analysis - 921.3 Mathematical Transformations - 821.1 Agricultural Machinery and Equipment - 723.5 Computer Applications - 431.5 Air Navigation and Traffic Control - 434.4 Waterway Navigation - 655.1 Spacecraft, General - 415.2 Plastics Structural Materials - 716.3 Radio Systems and Equipment - 722.2 Computer Peripheral Equipment - 723 Computer Software, Data Handling and Applications - 721 Computer Circuits and Logic Elements
Database:Compendex
Compilation and indexing terms, ? 2009 Elsevier Inc.
18. Accession number:20094612449972
Title:Determination of total sugar content in Chinese rice wine by mid-infrared spectroscopy
Authors:Shen, Fei1 ; Ying, Yibin1 ; Sun, Qi2 ; Hu, Jian'gang2
Author affiliation:1 College of Biosystems Engineering and
Food Science, Zhejiang University, Hangzhou 310029, China
2 National Center for Quality Supervision and Testing of Rice
Wine, Shaoxing 312071, China
Corresponding author:Ying, Y. ([email protected])
Source title:Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery
Abbreviated source title:Nongye Jixie Xuebao
Volume:40
Issue:SUPPL. 1
Issue date:September 2009
Publication year:2009
Pages:143-145
Language:Chinese
ISSN:10001298
CODEN:NUYCA3
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Machinery, No. 1 Beishatan Deshengmen Wai, Beijing, 100083, China
Abstract: Mid-infrared spectroscopy combined with chemometrics was used to determine total sugar content in Chinese rice wine. A total of 30 samples were collected. Calibration models were developed in the range of 1000 cm-1 to 1500 cm-1 and 2500 cm-1 to 3000 cm-1 to exclude the influence of water absorption. Stepwise multiple regression (SMLR), principal component regression (PCR) and partial least squares regression (PLSR) were used to develop the models in TQ analyst software. And derivative pretreatment method was used to test the impact of accuracy of the models established. The best model was obtained by PLSR with second-order derivative pretreatment. The correlation coefficient of cross validation (rcv) was 0.984, RMSECV to 0.765 g/L, RPD to 5.75. The result indicates that mid-infrared spectroscopy (MIR), combined with chemometric methods, can be used as a fast, simple and exact method to measure total sugar content in Chinese rice wine.
Number of references:6
Main heading:Infrared spectroscopy
Controlled terms:Infrared devices - Regression analysis - Spectroscopic analysis - Sugar (sucrose) - Sugars - Water absorption - Wine
Uncontrolled terms:Best model - Calibration model - Chemometric method - Chemometrics - Chinese rice wine - Correlation coefficient - Cross validation - Exact methods - Influence of water - Mid-infrared spectroscopy - Mid-infrared spectroscopy (MIR) - Partial least-squares regression - Pre-Treatment - Pretreatment methods - Principal component regression - Second order derivatives - Stepwise multiple regression - Sugar content - Total sugar content
Classification code:941.4 Optical Variables Measurements - 931.2 Physical Properties of Gases, Liquids and Solids - 922.2 Mathematical Statistics - 822.3 Food Products - 804.1 Organic Compounds - 802.3 Chemical Operations - 801 Chemistry - 741.3 Optical Devices and Systems - 741.1 Light/Optics
Database:Compendex
Compilation and indexing terms, ? 2009 Elsevier Inc.
19.Accession number:20094612449979
Title:Yield distribution information measurement for grain combine harvester
Authors:Zhang, Xiaochao1 ; Hu, Xiaoan1 ; Zhang, Yinqiao1 ; Yuan, Yanwei1
Author affiliation:1 Chinese Academy of Agricultural
Mechanization Sciences, Beijing 100083, China
Corresponding author:Zhang, X. ([email protected])
Source title:Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery
Abbreviated source title:Nongye Jixie Xuebao
Volume:40
Issue:SUPPL. 1
Issue date:September 2009
Publication year:2009
Pages:173-176
Language:Chinese
ISSN:10001298
CODEN:NUYCA3
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Machinery, No. 1 Beishatan Deshengmen Wai, Beijing, 100083, China
Abstract: In order to acquire field information in precision agriculture, a new measurement method of grain yield distribution is suggested based on weighing device. The new method could increase the accuracy of grain flow monitoring. According to grain transmission characteristics of the traditional combine harvesters, a new kind of grain flow sensor is developed with spiral propulsion weighing device. The device solves the several problems in present measurement system of grain flow such as direct power transmitting and effective signal detecting. Together with GPS positioning information, dynamic measurement of yield distribution information for grain combine harvester is realized.
Number of references:5
Main heading:Grain (agricultural product)
Controlled terms:Agriculture - Global positioning system - Harvesters - Information theory - Magnetic filters - Sensors - Weighing
Uncontrolled terms:Distribution information - Flow sensor - GPS - Grain yield - Precision agriculture - Wavelet filter
Classification code:821.4 Agricultural Products - 821.1 Agricultural Machinery and Equipment - 821 Agricultural Equipment and Methods; Vegetation and Pest Control - 802.1 Chemical Plants and Equipment - 801 Chemistry - 943.3 Special Purpose Instruments - 732.2 Control Instrumentation - 716.1 Information Theory and Signal Processing - 708.4 Magnetic Materials - 701.2 Magnetism: Basic Concepts and Phenomena - 655.2.1 Communication Satellites - 716.3 Radio Systems and Equipment
Database:Compendex
Compilation and indexing terms, ? 2009 Elsevier Inc.
20. Accession number:20094612449973
Title:Detection of contamination in fruits and vegetables with a portable rapid detector
Authors:Luan, Yunxia1 ; Han, Ping1 ; Lu, Anxiang1 ; Pan, Ligang1
Author affiliation:1 Beijing Research Center for Agrifood
Testing and Farmland Monitoring, Beijing 100097, China
Corresponding author:Pan, L. ([email protected])
Source title:Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery
Abbreviated source title:Nongye Jixie Xuebao
Volume:40
Issue:SUPPL. 1
Issue date:September 2009
Publication year:2009
Pages:146-149 123
Language:Chinese
ISSN:10001298
CODEN:NUYCA3
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Machinery, No. 1 Beishatan Deshengmen Wai, Beijing, 100083, China
Abstract: The performance of a newly-developed portable rapid detector of contamination in fruits and vegetables (PRD) was tested in lab, by detecting the content of nitrite, heavy metal and pesticide in different samples. The detection ranges of nitrite, lead, phoxim, trichlorfon, carbofuran and methomyl were 1.5-150, 0.5-4.0, 0.005-2.0, 0.005-0.5, 0.005-0.3 and 0.005-1.0 μg/mL, respectively. Precision tests, made on different concentration levels, gave values of RSD in the ranges of 2.6%-8.9% for lead, and less than 2% for nitrite, and the sensitivity of the four pesticides ranged from 31.368 to 62.05. The results show that the accuracy and precision detecting the three kinds of contamination can meet the requirement of rapid detection compared with Optizen 2120V-FT machine. The PRD is more simple, rapid, portable and feasible for application.
Number of references:7
Main heading:Pollution detection
Controlled terms:Detectors - Fruits - Lead - Pesticides
Uncontrolled terms:Accuracy and precision - Carbofurans - Concentration levels - Detection range - Methomyl - Nitrite - Pesticide residue - Rapid detection - Trichlorfon
Classification code:454.2 Environmental Impact and Protection - 546.1 Lead and Alloys - 803 Chemical Agents and Basic Industrial Chemicals - 821.2 Agricultural Chemicals - 821.4 Agricultural Products - 914 Safety Engineering
Database:Compendex
Compilation and indexing terms, ? 2009 Elsevier Inc.
21. Accession number:20094612449951
Title:Droplet detection based on image processing
Authors:Qi, Lijun1 ; Hu, Kaiqun1 ; Mang, Lu1 ; Wang, Hongtao1 ; Ji, Ronghua1
Author affiliation:1 College of Information and Electrical
Engineering, China Agricultural University, Beijing 100083,
China
Corresponding author:Ji, R. ([email protected])
Source title:Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery
Abbreviated source title:Nongye Jixie Xuebao
Volume:40
Issue:SUPPL. 1
Issue date:September 2009
Publication year:2009
Pages:48-51
Language:Chinese
ISSN:10001298
CODEN:NUYCA3
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Machinery, No. 1 Beishatan Deshengmen Wai, Beijing, 100083, China
Abstract: The droplet size distribution is evaluated by image processing. The traces of the captured droplet on water-sensitive papers are detected by a camera and then sent for segment and evaluation by a specially developed program. An improved GLV algorithm is used to separate the conglutinated droplets and compute their size data comparing to the discrete droplets. Comparison experiments are conducted to measure the droplet size distribution by a laser particle size analyzer. The evaluation result shows that the error between the data set given by image process and the data set from laser analyzer is less than 6%.
Number of references:12
Main heading:Drop formation
Controlled terms:Image processing - Imaging systems - Size distribution
Uncontrolled terms:Data sets - Distribution - Droplet - Droplet size distributions - Evaluation results - Image process - Laser analyzer - Laser particle size analyzer - Water sensitive paper
Classification code:931.2 Physical Properties of Gases, Liquids and Solids - 922.2 Mathematical Statistics - 746 Imaging Techniques - 933.1 Crystalline Solids - 741 Light, Optics and Optical Devices - 531.2 Metallography - 423 Non Mechanical Properties and Tests of Building Materials - 723.2 Data Processing and Image Processing
Database:Compendex
Compilation and indexing terms, ? 2009 Elsevier Inc.
22.Accession number:20094612450001
Title:RFID-based on animal tracing and identification system
Authors:Cheng, Xue1 ; Zhou, Xiuli1 ; Li, Yanjun1 ; Zheng, Xianzhe1
Author affiliation:1 School of Engineering, Northeast
Agricultural University, Harbin 150030, China
Corresponding author:Zhou, X. ([email protected])
Source title:Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery
Abbreviated source title:Nongye Jixie Xuebao
Volume:40
Issue:SUPPL. 1
Issue date:September 2009
Publication year:2009
Pages:263-266
Language:Chinese
ISSN:10001298
CODEN:NUYCA3
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Machinery, No. 1 Beishatan Deshengmen Wai, Beijing, 100083, China
Abstract: Tracing and identifying animal is an important means of enhanced animal food tracing regulations in the world. Animal tracing and identification system based on RFID was introduced. Based on the system function, the design of GPRS wireless data transmission terminal based on ARM was put forward. According to the functions and characteristics, database of data center was detailed designed. Combining characteristics of animal tracing and identification system, significance of system application was described.
Number of references:6
Main heading:Animals
Controlled terms:Laws and legislation - Telecommunication systems
Uncontrolled terms:Animal foods - Data centers - GPRS - Identification systems - RFID - System applications - System functions - Tracing - Wireless data transmission
Classification code:902.3 Legal Aspects - 822 Food Technology - 821 Agricultural Equipment and Methods; Vegetation and Pest Control - 814 Leather and Tanning - 971 Social Sciences - 718 Telephone Systems and Related Technologies; Line Communications - 716 Telecommunication; Radar, Radio and Television - 471 Marine Science and Oceanography - 461 Bioengineering and Biology - 717 Optical Communication
Database:Compendex
Compilation and indexing terms, ? 2009 Elsevier Inc.
23.Accession number:20094612449992
Title:Greenhouse environment monitoring system based on wireless sensor network
Authors:Li, Li1 ; Li, Haixia1 ; Liu, Hui1
Author affiliation:1 Key Laboratory of Modern Precision
Agriculture System Integration Research, Ministry of
Education, China Agricultural University, Beijing 100083, China
Corresponding author:Li, L. ([email protected])
Source title:Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery
Abbreviated source title:Nongye Jixie Xuebao
Volume:40
Issue:SUPPL. 1
Issue date:September 2009
Publication year:2009
Pages:228-231
Language:Chinese
ISSN:10001298
CODEN:NUYCA3
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Machinery, No. 1 Beishatan Deshengmen Wai, Beijing, 100083, China
Abstract:In recent years, energy saving technology becomes more and more important in greenhouse in the world, due to the higher price of energy. Many greenhouse producers changed their produce mode and made the strategies more flexible. Wireless sensor network (WSN) is increasingly popular in the field of environmental monitoring due to its promising capability. WSN offers permanent online access to the environmental condition. The system integrated embedded technologies, GPRS and wireless sensor network. The large amount of data of greenhouse environment is acquired, and then communicated by the wireless sensor network. The design gives a new way to collect the data of environment instead of the traditional way using wires.
Number of references:6
Main heading:Wireless sensor networks
Controlled terms:Computer operating systems - Energy conservation - Greenhouses - Sensor networks - Wireless telecommunication systems
Uncontrolled terms:ARM9 - Embedded technology - Energy-saving technologies - Environmental conditions - Environmental Monitoring - GPRS - Greenhouse environment - Greenhouse environment monitoring - Linux - On-line access
Classification code:732 Control Devices - 731.1 Control Systems - 723 Computer Software, Data Handling and Applications - 722.4 Digital Computers and Systems - 722.3 Data Communication, Equipment and Techniques - 821.6 Farm Buildings and Other Structures - 722 Computer Systems and Equipment - 716.3 Radio Systems and Equipment - 716 Telecommunication; Radar, Radio and Television - 525.2 Energy Conservation - 402.1 Industrial and Agricultural Buildings - 717 Optical Communication
Database:Compendex
Compilation and indexing terms, ? 2009 Elsevier Inc.
24.Accession number:20094612449947
Title:Design of agricultural robot navigated by the slider-crank mechanism
Authors:Zhu, Leilei1 ; Chen, Jun1 ; Bai, Xiaoge1 ; Yang, Na1 ; Su, Qinghua1
Author affiliation:1 College of Mechanical and Electronic
Engineering, Northwest A and F University, Yangling, Shaanxi 712100, China
Corresponding author:Chen, J. ([email protected])
Source title:Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery
Abbreviated source title:Nongye Jixie Xuebao
Volume:40
Issue:SUPPL. 1
Issue date:September 2009
Publication year:2009
Pages:33-36
Language:Chinese
ISSN:10001298
CODEN:NUYCA3
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Machinery, No. 1 Beishatan Deshengmen Wai, Beijing, 100083, China
Abstract: An orchard tracked mobile robot was developed in order to raise automation level of orchard management, improve operation efficiency, and reduce the intensity of operation. A navigation method based on the slider-crank mechanism was developed, and a fuzzy PID controller was designed, which used the attitude angle and position angle of the robot guiding mechanism as the input parameters. The experiments showed that the robot could travel in a straight line with a maximum lateral error of 0.02 m when the robot moved at the speed of 0.15 m/s, and the maximum0.05 m when the turning radius was 2 m.
Number of references:8
Main heading:Machine design
Controlled terms:Fuzzy control - Mechanical engineering - Navigation - Orchards - Proportional control systems - Robots
Uncontrolled terms:Agricultural robot - Attitude angle - Automation levels - Fuzzy PID controller - Input parameter - Navigation methods - Operation efficiencies - Position angle - Robot guiding - Slider-crank mechanism - Straight lines - Turning radius
Classification code:921 Mathematics - 821.3 Agricultural Methods - 731.6 Robot Applications - 731.5 Robotics - 731.1 Control Systems - 731 Automatic Control Principles and Applications - 723.4 Artificial Intelligence - 716.3 Radio Systems and Equipment - 655.1 Spacecraft, General - 608 Mechanical Engineering, General - 601 Mechanical Design - 434.4 Waterway Navigation - 431.5 Air Navigation and Traffic Control
Database:Compendex
Compilation and indexing terms, ? 2009 Elsevier Inc.
25.Accession number:20094612449981
Title:Path recognition for vision navigation system of agricultural vehicle in weed environment
Authors:Zhao, Bo1 ; Mao, Enrong2 ; Mao, Wenhua1 ; Zhang, Xiaochao1 ; Song, Zhenghe2
Author affiliation:1 Chinese Academy of Agricultural
Mechanization Sciences, Beijing 100083, China
2 College of Engineering, China Agricultural University,
Beijing 100083, China
Corresponding author:Zhao, B. ([email protected])
Source title:Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery
Abbreviated source title:Nongye Jixie Xuebao
Volume:40
Issue:SUPPL. 1
Issue date:September 2009
Publication year:2009
Pages:183-186
Language:Chinese
ISSN:10001298
CODEN:NUYCA3
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Machinery, No. 1 Beishatan Deshengmen Wai, Beijing, 100083, China
Abstract:The effect of the weed environment on the path recognition is investigated. On the basis of the conventional path recognition method, a new method based on the BP neural network for the path recognition in the weed environment is proposed. Experimental results prove that the new method is effective for the path recognition in the weed environment, and can obtain the target navigation path rapidly, reliably and accurately. The recognition correct rate is 97%, and the average cost time is 560 ms.
Number of references:10
Main heading:Neural networks
Controlled terms:Navigation
Uncontrolled terms:Agricultural vehicles - Average cost - BP neural network - BP neural networks - Navigation paths - Path recognition - Vision navigation - Weed environment
Classification code:431.5 Air Navigation and Traffic Control - 434.4 Waterway Navigation - 461.1 Biomedical Engineering - 655.1 Spacecraft, General - 716.3 Radio Systems and Equipment - 723.4 Artificial Intelligence
Database:Compendex
Compilation and indexing terms, ? 2009 Elsevier Inc.
26.Accession number:20094612449943
Title:Positions research of vehicle navigation system based on kalman filter
Authors:Ji, Ying1, 2 ; Liu, Zhaoxiang1 ; Liu, Gang1 ; Zhang, Man1 ; Zhou, Jianjun3
Author affiliation:1 College of Information and Electrical
Engineering, China Agricultural University, Beijing 100083, China
2 College of Information and Science and Technology,
Agricultural University of Hebei, Baoding 071001, China
3 National Engineering Research Center for Information
Technology in Agriculture, Beijing 100097, China
Corresponding author:Liu, Z. ([email protected])
Source title:Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery
Abbreviated source title:Nongye Jixie Xuebao
Volume:40
Issue:SUPPL. 1
Issue date:September 2009
Publication year:2009
Pages:13-17
Language:Chinese
ISSN:10001298
CODEN:NUYCA3
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Machinery, No. 1 Beishatan Deshengmen Wai, Beijing, 100083, China
Abstract: Since the positioning accuracy of low accuracy GPS can not meet the requirements of agricultural production, a new navigation method is studied to improve the position accuracy. The compensate model is built to compensate for the libration caused by the antenna. A Kalman filter is developed, and a VRS-based receiver is used as the low accuracy GPS. The Kalman filter is applied to the data collected from the low accuracy GPS, compass and speed sensor. The data set collected from the RTK-GPS is used as a baseline to evaluate the performance of the filter. Experiment results indicated that the mean error was reduced from 1.6019 m to 0.597 m straight line track, and from 1.2085 m to 0.4861 m in curve track.
Number of references:8
Main heading:Kalman filters
Controlled terms:Agriculture - Control theory - Global positioning system - Information fusion - Navigation - Navigation systems
Uncontrolled terms:Agricultural productions - Data sets - Mean errors - Navigation methods - Position - Position accuracy - Positioning accuracy - RTK-GPS - Speed sensors - Straight lines - Vehicle navigation - Vehicle navigation system
Classification code:943.3 Special Purpose Instruments - 903.1 Information Sources and Analysis - 821 Agricultural Equipment and Methods; Vegetation and Pest Control - 731.1 Control Systems - 716.3 Radio Systems and Equipment - 716.1 Information Theory and Signal Processing - 703.2 Electric Filters - 655.2.1 Communication Satellites - 655.1 Spacecraft, General - 434.4 Waterway Navigation - 431.5 Air Navigation and Traffic Control
Database:Compendex
Compilation and indexing terms, ? 2009 Elsevier Inc.
27. Accession number:20094612449965
Title:Discrimination of moldy Chinese chestnut based on artificial neural network and near infrared spectra
Authors:Zhou, Zhu1 ; Liu, Jie1 ; Li, Xiaoyu1 ; Li, Peiwu2 ; Wang, Wei1 ; Zhan, Hui1
Author affiliation:1 College of Engineering and Technology,
Huazhong Agricultural University, Wuhan 430070, China
2 Oil Crops Research Institute, Chinese Academy of
Agricultural Sciences, Wuhan 430062, China
Corresponding author:Li, X. ([email protected])
Source title:Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery
Abbreviated source title:Nongye Jixie Xuebao
Volume:40
Issue:SUPPL. 1
Issue date:September 2009
Publication year:2009
Pages:109-112
Language:Chinese
ISSN:10001298
CODEN:NUYCA3
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Machinery, No. 1 Beishatan Deshengmen Wai, Beijing, 100083, China
Abstract: The nondestructive discrimination of the shelled chestnuts was studied with near infrared spectra, which could provide a new method for quality detection of other shelled agricultural products. 178 chestnut samples were prepared and the diffuse spectral reflectance of the samples were collected in the wave number range of 12000-4000 cm-1. First, six preprocessing methods including smooth, vector normalization, min-max normalization, standard normal variate transformation, multiplication scattering correction and first derivative were used to improve the original spectrum. Then, principal component analysis was applied to compress thousands of spectral data into several variables and to collect spectral information. The principal components extracted by PCA were employed as the inputs of the BP neural networks. Effects of the six preprocessing methods on the models based on BP neural network were compared. The results show that prediction precision varied to different preprocessing methods. The optimum network structure of 7-4-1 was obtained after vector normalization method. Discriminating rate of qualified chestnut, surface moldy chestnut and internal moldy chestnut in prediction reached 94.74%, 94.44% and 92.31%, respectively.
Number of references:10
Main heading:Principal component analysis
Controlled terms:Agricultural products - Fruits - Infrared devices - Infrared spectroscopy - Near infrared spectroscopy - Neural networks - Speech recognition - Structural optimization
Uncontrolled terms:Artificial Neural Network - BP neural network - BP neural networks - Chinese chestnut - First derivative - Min-max - Near infrared spectra - Non destructive - Optimum networks - Pre-processing method - Prediction precision - Preprocessing - Principal Components - Quality detection - Scattering corrections - Several variables - Spectral data - Spectral information - Spectral reflectances - Standard normal variate transformations - Vector normalization - Wave numbers
Classification code:941.4 Optical Variables Measurements - 931.3 Atomic and Molecular Physics - 931.2 Physical Properties of Gases, Liquids and Solids - 922.2 Mathematical Statistics - 921.5 Optimization Techniques - 821.4 Agricultural Products - 801 Chemistry - 751.5 Speech - 741.3 Optical Devices and Systems - 741.1 Light/Optics - 723.5 Computer Applications - 723.4 Artificial Intelligence - 461.1 Biomedical Engineering
Database:Compendex
Compilation and indexing terms, ? 2009 Elsevier Inc.
28. Accession number:20094612449968
Title:Apparatus of climatic information acquisition and wireless transmission for tea farm
Authors:Hu, Yongguang1 ; Li, Pingping1 ; Si, Yongsheng2 ; Shi, Zhixing2 ; Xu, Deliang3
Author affiliation:1 Key Laboratory of Modern Agricultural
Equipment and Technology, Ministry of Education and Jiangsu
Province, Jiangsu University, Zhenjiang 212013, China
2 College of Information Science and Technology, Agricultural
University of Hebei, Baoding 071001, China
3 Jiangsu Provincial Institute of Tea Science, Wuxi 214063,
China
Corresponding author:Li, P. ([email protected])
Source title:Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery
Abbreviated source title:Nongye Jixie Xuebao
Volume:40
Issue:SUPPL. 1
Issue date:September 2009
Publication year:2009
Pages:124-128
Language:Chinese
ISSN:10001298
CODEN:NUYCA3
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Machinery, No. 1 Beishatan Deshengmen Wai, Beijing, 100083, China
Abstract: An apparatus of climatic information acquisition and wireless transmission is developed for frost protection of tea farm. The hardware of the system is made up of a microcomputer AT89C52, an A/D convertor, a TC35i GSM module, a RAM, a liquid crystal displayer, a keyboard, a printer, a power supply and several sensors, which can measure meteorological parameters such as air temperature & humidity, radiation, wind speed and so on. The software is programmed with assembly language and the function includes system setting, SMS receiving & sending, data storage and inquery, result display and printing management. The apparatus can be used for on-line information acquisition and wireless transmission with high reliability in remote tea field in order to provide the basis for tea plant management decisions, especially for the early warning of late spring cold.
Number of references:20
Main heading:Frost protection
Controlled terms:Farms - Liquid crystals - Mergers and acquisitions - Plant management
Uncontrolled terms:Climatic parameters - Frost damage - Information acquisition - Tea farm - Wireless transmission
Classification code:804 Chemical Products Generally - 821 Agricultural Equipment and Methods; Vegetation and Pest Control - 821.3 Agricultural Methods - 912 Industrial Engineering and Management - 912.2 Management - 931.2 Physical Properties of Gases, Liquids and Solids
Database:Compendex
Compilation and indexing terms, ? 2009 Elsevier Inc.
29.Accession number:20094612449970
Title:Application of visible/near infrared spectroscopy for discrimination of bee pollen under different storage temperature
Authors:Jin, Hangfeng1 ; Huang, Lingxia1 ; Jin, Peihua1 ; Lou, Chengfu1
Author affiliation:1 College of Animal Sciences, Zhejiang
University, Hangzhou 310029, China
Corresponding author:Lou, C. ([email protected])
Source title:Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery
Abbreviated source title:Nongye Jixie Xuebao
Volume:40
Issue:SUPPL. 1
Issue date:September 2009
Publication year:2009
Pages:134-137
Language:Chinese
ISSN:10001298
CODEN:NUYCA3
Document type:Journal article (JA)
Publisher: Chinese Society of Agricultural Machinery, No. 1 Beishatan Deshengmen Wai, Beijing, 100083, Chinadetermine the freshness of bee pollen, visible and near infrared (Vis/NIR) spectroscopy combined with least square support vector machine (LS-SVM) was applied to identify the samples of bee pollen under the different storage temperature. Five storage temperatures including -20, 4, 15, 25 and 40°C were set. The Camellia pollens stored for 60 days at different set temperatures were investigated. Spectra were acquired by an ASD fieldspec spectrometer. As the pretreatments of the optimal smoothing way, moving average with three segments and multiplication scatter correction (MSC) were applied to reduce the noise of the spectra. After the principle component analysis of the spectra from 400 to 1000 nm, 4 to 20 principal components (PCs) were chosen as the inputs of LS-SVM models. Results show that the rp2 of the LS-SVM model with 20 PCs was more than 0.9919 in validation set, and was better than the traditional PLS model. The results also indicated that the PCs could reflect and represent the main characteristics of bee pollens stored at different temperatures, and the LS-SVM model could be used to discriminate the samples of bee pollen under the different storage temperature.
Number of references:11
Main heading:Principal component analysis
Controlled terms: Image retrieval - Infrared spectroscopy - Spectroscopic analysis - Spectrum analysis - Support vector machines
Uncontrolled terms:Bee pollen - Efficient method - Least square support vector machine - Least square support vector machines - Main characteristics - Moving averages - PLS models - Pre-treatments - Principal Components - Principle component analysis - Scatter correction - Storage temperature - Storage temperatures - SVM model - Visible and near infrared - Visible/near infrared spectroscopy
Classification code:944 Moisture, Pressure and Temperature, and Radiation Measuring Instruments - 943 Mechanical and Miscellaneous Measuring Instruments - 942 Electric and Electronic Measuring Instruments - 941.4 Optical Variables Measurements - 941 Acoustical and Optical Measuring Instruments - 931.2 Physical Properties of Gases, Liquids and Solids - 922.2 Mathematical Statistics - 921 Mathematics - 801 Chemistry - 741.1 Light/Optics - 741 Light, Optics and Optical Devices - 723.2 Data Processing and Image Processing - 723 Computer Software, Data Handling and Applications
Database:Compendex
Compilation and indexing terms, ? 2009 Elsevier Inc.
30.Accession number:20094612449944
Title:Path tracking of agricultural vehicle based on machine vision
Authors:Liu, Zhaoxiang1 ; Chen, Yan1 ; Ji, Ying1, 2 ; Liu, Gang1 ; Zhang, Man1 ; Zhou, Jianjun1
Author affiliation:1 Key Laboratory of Modern Precision
Agriculture System Integration Research, Ministry of
Education, China Agricultural University, Beijing 100083, China
2 College of Information and Science and Technology,
Agricultural University of Hebei, Baoding 071000, China
Corresponding author:Liu, G. ([email protected])
Source title:Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery
Abbreviated source title:Nongye Jixie Xuebao
Volume:40
Issue:SUPPL. 1
Issue date:September 2009
Publication year:2009
Pages:18-22
Language:Chinese
ISSN:10001298
CODEN:NUYCA3
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Machinery, No. 1 Beishatan
Deshengmen Wai, Beijing, 100083, China
Abstract: An autonomous navigation system based on machine vision for agricultural vehicle was studied. A novel line detection algorithm was proposed for navigation directrix detection, which could decrease the cost of memory and time considerably. A 2-D fuzzy controller with the inputs of lateral error and heading error was built to determine the expected angle of turning wheel, and a turning controller based on PID was constructed to control the turning of front wheel. The simplified kinematics model of two-wheel vehicle was adopted for simulation. The results of simulation and experiments indicated that the navigation system could track the desired beeline path effectively. The maximum tracking lateral error was less than 5 cm and 8 cm at the speed of 0.3 m/s and 0.6 m/s respectively, and the average lateral error was less than 2 cm and 4 cm respectively.
Number of references:11
Main heading:Fuzzy logic
Controlled terms:Agricultural machinery - Computer vision - Controllers - Fuzzy sets - Hough transforms - Mathematical models - Navigation - Navigation systems - Proportional control systems - Simulators - Three term control systems - Turning - Two term control systems - Wheels
Uncontrolled terms:Agricultural vehicles - Autonomous navigation - Autonomous navigation systems - Front wheels - Fuzzy controllers - Heading error - Kinematics models - Line detection - Machine vision - On-machines - Path tracking - PID control - Randomized Hough transform - Two-wheel vehicles
Classification code:721.1 Computer Theory, Includes Formal Logic, Automata Theory, Switching Theory, Programming Theory - 723.5 Computer Applications - 731.1 Control Systems - 731.6 Robot Applications - 716.3 Radio Systems and Equipment - 732.1 Control Equipment - 821.1 Agricultural Machinery and Equipment - 921 Mathematics - 921.3 Mathematical Transformations - 741.2 Vision - 671 Naval Architecture - 434.4 Waterway Navigation - 601.2 Machine Components - 604.2 Machining Operations - 621 Nuclear Reactors - 431.5 Air Navigation and Traffic Control - 654.1 Rockets and Missiles - 655.2 Satellites - 657.1 Solar Energy and Phenomena - 662.1 Automobiles - 655.1 Spacecraft, General
Database:Compendex
Compilation and indexing terms, ? 2009 Elsevier Inc.
31. Accession number:20094612449977
Title:Development of a GPS receiver based on NTRIP/VRS
Authors:Liang, Jingxian1 ; Zhang, Man1 ; Li, Minzan1 ; Cao, Mingang1
Author affiliation:1 Key Laboratory of Modern Precision
Agriculture System Integration Research, Ministry of
Education, China Agricultural University, Beijing 100083, China
Corresponding author:Zhang, M. ([email protected])
Source title:Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery
Abbreviated source title:Nongye Jixie Xuebao
Volume:40
Issue:SUPPL. 1
Issue date:September 2009
Publication year:2009
Pages:165-168
Language:Chinese
ISSN:10001298
CODEN:NUYCA3
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Machinery, No. 1 Beishatan Deshengmen Wai, Beijing, 100083, China
Abstract:The composition and implement of NTRIP (networked transport of RTCM via Internet protocol) are studied and discussed, a GPS receiver based on NTRIP/VRS are developed and experimented with the low-cost and low-accuracy GPS OEM board. The GPS receiver mainly includes a microprocessor, a wireless communication module, a GPS OEM board, a LCD module, an USB module, and so on. It can receive and process RTCM correction signals from VRS system via GPRS and GPS data. And then more accurate positioning data can be calculated and real-time displayed. The data can be also stored in the USB flash disk or sent to a PC for afterwards processing. The designed interface is friendly and easy to use so that it is convenient to change the parameters of storage, receiving and GPRS. Experiment results indicate that the accuracy of low-cost GPS receiver based on NTRIP/VRS is about 1.24 m (95%), and can provide reliable GPS data resource for field information sampling.
Number of references:11
Main heading:Global positioning system
Controlled terms:Internet protocols - Telecommunication systems - Wireless networks
Uncontrolled terms:Flash disks - GPS - GPS data - GPS receivers - LCD module - NTRIP - Positioning data - VRS - Wireless communication - Wireless communications
Classification code:943.3 Special Purpose Instruments - 723 Computer Software, Data Handling and Applications - 722.4 Digital Computers and Systems - 722.3 Data Communication, Equipment and Techniques - 718 Telephone Systems and Related Technologies; Line Communications - 717 Optical Communication - 716.3 Radio Systems and Equipment - 716 Telecommunication; Radar, Radio and Television - 655.2.1 Communication Satellites
Database:Compendex
Compilation and indexing terms, ? 2009 Elsevier Inc.
32.Accession number:20094612449967
Title:Recognition of the tea sprout based on color and shape features
Authors:Yang, Fuzeng1 ; Yang, Liangliang1 ; Tian, Yanna2 ; Yang, Qing1
Author affiliation:1 College of Mechanical and Electronic
Engineering, Northwest A and F University, Yangling, Shaanxi
712100, China
2 College of Information Engineering, Northwest A and F
University, Yangling, Shaanxi 712100, China
Corresponding author:Yang, Q. ([email protected])
Source title:Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery
Abbreviated source title:Nongye Jixie Xuebao
Volume:40
Issue:SUPPL. 1
Issue date:September 2009
Publication year:2009
Pages:119-123
Language:Chinese
ISSN:10001298
CODEN:NUYCA3
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Machinery, No. 1 Beishatan Deshengmen Wai, Beijing, 100083, China
Abstract: It is a big problem for China to have not enough workforces in picking tea sprout today, which usually result in missing the tea sprout's optimum picking period. The picking machine currently used improves the picking efficiency indeed. However, the old leaves are picked together with the sprout, and the sprout is damaged at some time. Hence it is necessary to develop an intelligent picking machine that can recognize and pick the sprout with the minimum sprout damage. This paper presents an image process method based on the tea sprout color and shape features, which was used to recognize the ″Wuzi Xianhao″ (a famous green tea of Shaanxi, China) tea sprout grown at Xixiang County of Shaanxi Province. Firstly, the green component of the tea leaf image in RGB color space was extracted. Secondly, green component image was segmented using double threshold method. Finally, the edge of tea sprout is detected according to its shape feature. Experimental results indicate that this recognizing method of the tea sprout based on color and shape features can reach the right detection rate of 94%, and provide an effective method for automatic tea sprout picking.
Number of references:12
Main heading:Fruits
Controlled terms:Color - Image processing
Uncontrolled terms:Color feature - Detection rates - Double-threshold method - Green component - Green tea - Image process - Leaf images - Picking efficiency - Recognition - RGB color space - Shape feature - Shape features - Tea sprout
Classification code:723.2 Data Processing and Image Processing - 741 Light, Optics and Optical Devices - 741.1 Light/Optics - 821.4 Agricultural Products
Database:Compendex
Compilation and indexing terms, ? 2009 Elsevier Inc.
33. Accession number:20094612449948
Title:Design and field experiment on 1SZ-460 lever-type subsoiler
Authors:Li, Yanlong1 ; Liu, Bao1 ; Cui, Tao1 ; Zhang, Dongxing1
Author affiliation:1 College of Engineering, China
Agricultural University, Beijing 100083, China
Corresponding author:Zhang, D. ([email protected])
Source title:Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery
Abbreviated source title:Nongye Jixie Xuebao
Volume:40
Issue:SUPPL. 1
Issue date:September 2009
Publication year:2009
Pages:37-40
Language:Chinese
ISSN:10001298
CODEN:NUYCA3
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Machinery, No. 1 Beishatan Deshengmen Wai, Beijing, 100083, China
Abstract: Soil deep loosening operation can break the hard-pan without flipping the soil. It can effectively improve the water and air permeability performance of the soil, and provide a broader space to the plant roots. To solve the existing problems, such as insufficient loosening depth, big tillage resistance and the power consumption for general types of deep loosening machines, a new type of the lever vibrating ripper is developed. The ripper is consist of five main parts, the stander, eccentric axis, crisscross connector, deep loosening shovels and wheels for depth control. The crisscross connector makes this machine achieve double vibrations. The power is transmitted effectively and tersely by the gimbal and the lever, which can enlarge the vibration displacement and increase amplitude with the increasing deep tillage. The form of shovels is narrow chisel-type so that it can maximize the protection of the soil and reduce the moisture evaporation. Contrastiveimpact of vibration on the traction resistance. The experimental results indicate that the operation traction resistance can be reduced 13%-18%.
Number of references:6
Main heading:Vibration analysis
Controlled terms:Agricultural machinery - Agriculture - Air permeability - Impact resistance - Shovels - Soils - Traction (friction)
Uncontrolled terms:Deep tillage - Depth control - Eccentric axis - Existing problems - Field experiment - Lever - Moisture evaporation - Plant roots - Power Consumption - Traction resistance - Vibration subsoiler
Classification code:943.2 Mechanical Variables Measurements - 751.2 Acoustic Properties of Materials - 819.5 Textile Products and Processing - 821 Agricultural Equipment and Methods; Vegetation and Pest Control - 821.1 Agricultural Machinery and Equipment - 931.1 Mechanics - 931.2 Physical Properties of Gases, Liquids and Solids - 682.1.2 Locomotives - 605.2 Small Tools, Unpowered - 483.1 Soils and Soil Mechanics - 421 Strength of Building Materials; Mechanical Properties - 408.1 Structural Design, General - 405.1 Construction Equipment - 682.1.1 Railroad Cars
Database:Compendex
Compilation and indexing terms, ? 2009 Elsevier Inc.
34. Accession number:20094612449954
Title:Universal online measuring method of grain moisture content based on DSP
Authors:Huang, Caojun1, 2 ; Tian, Fangming2 ; Liu, Kun2 ; Xu, Xiuying2 ; Li, Aichuan2
Author affiliation:1 School of Electric Information
Engineering, Daqing Petroleum Institute, Daqing 163318, China
2 College of Information and Technology, Heilongjiang August
First Land Reclamation University, Daqing 163319, China
Corresponding author:Huang, C. ([email protected])
Source title:Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery
Abbreviated source title:Nongye Jixie Xuebao
Volume:40
Issue:SUPPL. 1
Issue date:September 2009
Publication year:2009
Pages:61-64
Language:Chinese
ISSN:10001298
CODEN:NUYCA3
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Machinery, No. 1 Beishatan Deshengmen Wai, Beijing, 100083, China
Abstract: A grain moisture measuring method based on DSP is studied. First, the grain is leaded-in measuring capacitance by gravity. Secondly, the grain moisture is measured through MCU and DSP, and the measured data are stored or displayed on LCD. Finally, the measured grain is ejected by a discharging screw feeder, and a measuring cycle is finished. A DS18S20 is adopted to detect and compensate the temperature in the process of measuring grain moisture. The measuring precision is higher than 1% RH, and exceeds the conventional measurement methods.
Number of references:9
Main heading:Moisture
Controlled terms:Digital signal processors - Feeding - Low temperature drying - Moisture determination
Uncontrolled terms:Conventional measurements - DSP - Grain moisture content - Measured data - Measuring method - Online measuring - Online measuring methods - Screw feeders
Classification code:802.3 Chemical Operations - 801.4 Physical Chemistry - 723.2 Data Processing and Image Processing - 944.2 Moisture Measurements - 722.4 Digital Computers and Systems - 691.2 Materials Handling Methods - 443.1 Atmospheric Properties - 716.1 Information Theory and Signal Processing
Database:Compendex
Compilation and indexing terms, ? 2009 Elsevier Inc.
35.Accession number:20094612449994
Title:Smart sensor nodes for wireless soil temperature monitoring systems in precision agriculture
Authors:Zhang, Xihai1 ; Zhang, Changli1 ; Fang, Junlong1 ; Yu, Xiao1 ; Liang, Jianquan1
Author affiliation:1 College of Engineering, Northeast Agricultural University, Harbin 150030, China
Corresponding author:Zhang, C. ([email protected])
Source title:Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery
Abbreviated source title:Nongye Jixie Xuebao
Volume:40
Issue:SUPPL. 1
Issue date:September 2009
Publication year:2009
Pages:237-240
Language:Chinese
ISSN:10001298
CODEN:NUYCA3
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Machinery, No. 1 Beishatan Deshengmen Wai, Beijing, 100083, China
Abstract: A new smart sensor node to monitor soil temperature, including hardware and software, is developed through modular method. The hardware system is developed based on a CC2430 micro-controller and DS18B20. The software system includes the temperature collection and information transmission. The results show that the node can collect soil temperature data and then send the data to the upper network node. This node possesses compact structure, stable performance and low energy consumption. The effective communications distance among nodes reaches 80 m and the error ratio is approximately 1%, which meets the requirement of precision agriculture. The node provides a better hardware platform for further study on the communication protocols of wireless sensor networks.
Number of references:10
Main heading:Wireless sensor networks
Controlled terms:Agriculture - Communication - Computer software - Network protocols - Sensor networks - Sensor nodes - Smart sensors - Soils - Telecommunication equipment - Temperature - Wireless telecommunication systems
Uncontrolled terms:Communication protocols - Compact structures - Effective communication - Error ratio - Hardware and software - Hardware platform - Hardware system - Information transmission - Low energy consumption - Modular methods - Network node - Precision agriculture - Software systems - Soil temperature - Soil temperature data - ZigBee
Classification code:722 Computer Systems and Equipment - 722.3 Data Communication, Equipment and Techniques - 722.4 Digital Computers and Systems - 821 Agricultural Equipment and Methods; Vegetation and Pest Control - 723 Computer Software, Data Handling and Applications - 732 Control Devices - 732.2 Control Instrumentation - 731.1 Control Systems - 718 Telephone Systems and Related Technologies; Line Communications - 717 Optical Communication - 483.1 Soils and Soil Mechanics - 641.1 Thermodynamics - 714.2 Semiconductor Devices and Integrated Circuits - 716 Telecommunication; Radar, Radio and Television - 716.1 Information Theory and Signal Processing - 716.3 Radio Systems and Equipment
Database:Compendex
Compilation and indexing terms, ? 2009 Elsevier Inc.
36.Accession number:20094612449961
Title:Optimization of the parameters of designed apparatus for determination of thermal conductivity of tomato fruits
Authors:Zhang, Min1 ; Zhong, Zhiyou1 ; Zhao, Huizhong2 ; Zhang, Leijie1 ; Yang, Le1 ; Liu, Yanling1
Author affiliation:1 College of Food Science and Technology,
Shanghai Ocean University, Shanghai 201306, China
2 College of Urban Construction and Environment Engineering,
University of Shanghai for Science and Technology, Shanghai 200093, China
Corresponding author:Zhang, M. ([email protected])
Source title:Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery
Abbreviated source title:Nongye Jixie Xuebao
Volume:40
Issue:SUPPL. 1
Issue date:September 2009
Publication year:2009
Pages:93-96
Language:Chinese
ISSN:10001298
CODEN:NUYCA3
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Machinery, No. 1 Beishatan Deshengmen Wai, Beijing, 100083, China
Abstract: The thermal conductivity probe system has been used in food. However, since the probe system is derived from an idealized transient heat transfer model, there are inevitable differences between the real probe and the theoretical model. The test error resulted by some experimental operating parameters including input voltage, heating time of thermal probe and size of sample was studied. The best values of input voltage, heating time of thermal probe and size of sample were obtained to minimize the test error. The optimal value for input voltage of thermal probe is in the range of 2.5-6.5 V, and the optimal heating time of thermal probe is in the range of 20-50 s. And then the thermal conductivities of tomato fruits at different ripeness stage were measured. The experimental data can give a reference for storage and process of tomato industry.
Number of references:8
Main heading:Fruits
Controlled terms:Carbon fiber reinforced plastics - Heating - Optimization - Probes - Thermal conductivity - Thermoanalysis
Uncontrolled terms:Best value - Experimental data - Heating time - Input voltages - Measurement apparatus - Operating parameters - Optimal heating - Optimal values - Probe systems - Test errors - Theoretical models - Thermal conductivity probes - Thermal probe - Tomato fruit - Tomato fruits - Transient heat transfer
Classification code:944 Moisture, Pressure and Temperature, and Radiation Measuring Instruments - 821.4 Agricultural Products - 921.5 Optimization Techniques - 931.2 Physical Properties of Gases, Liquids and Solids - 941 Acoustical and Optical Measuring Instruments - 942 Electric and Electronic Measuring Instruments - 943 Mechanical and Miscellaneous Measuring Instruments - 817.1 Polymer Products - 643.1 Space Heating - 642.1 Process Heating - 641.2 Heat Transfer - 641.1 Thermodynamics - 415.2 Plastics Structural Materials - 801 Chemistry
Database:Compendex
Compilation and indexing terms, ? 2009 Elsevier Inc.
37. Accession number:20094612449942
Title:Trajectory tracking control method based on kalman filter and pure pursuit model for agricultural vehicle
Authors:Zhang, Zhigang1 ; Luo, Xiwen1 ; Zhao, Zuoxi1 ; Huang, Peichen1
Author affiliation:1 Key Laboratory of Key Technology on
Agricultural Machine and Equipment, Ministry of Education,
South China Agricultural University, Guangzhou 510642, China
Corresponding author:Luo, X. ([email protected])
Source title:Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery
Abbreviated source title:Nongye Jixie Xuebao
Volume:40
Issue:SUPPL. 1
Issue date:September 2009
Publication year:2009
Pages:6-12
Language:Chinese
ISSN:10001298
CODEN:NUYCA3
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Machinery, No. 1 Beishatan
Deshengmen Wai, Beijing, 100083, China
Abstract: An automatic guidance system was developed on KUBOTA SPU-68 rice transplanter using Trimble 5700 RTK-DGPS and Crossbow AHRS500GA-227. RTK-DGPS positioning data was corrected using the heading, roll and pitch parameters acquired from AHRS500GA. A Kalman filter based on position-velocity model was developed to smooth the corrected DGPS positioning data and evaluate the bias error of the heading angle. A new trajectory tracking control method was proposed based on pure pursuit model. The determination method of the look-ahead distance was studied in detail for line tracking. Simulation result indicated that the optimized look-ahead distance could be determined for a special traveling speed based on the ITAE optimization. The test result showed that the proposed positioning and orientation evaluation algorithm could eliminate the effects of uneven field condition on GPS positioning and evaluate the bias error of the heading angle from AHRS online. The developed trajectory tracking controller was helpful to improve the tracking control performance. The maximal lateral tracking error could be kept within a range of ±0.17 m and the mean lateral tracking error was less than 0.02 m at the normal traveling speed.
Number of references:14
Main heading:Simulators
Controlled terms:Asphalt pavements - Control theory - Kalman filters - Navigation
Uncontrolled terms:Agricultural vehicles - Automatic guidance - Bias error - DGPS - Evaluation algorithm - Field conditions - GPS positioning - Heading angles - Lateral tracking - Look-ahead - Positioning data - Pure pursuit model - Rice transplanter - Simulation result - Test results - Tracking controls - Trajectory tracking - Trajectory tracking control - Transplanter - Velocity model
Classification code:657.1 Solar Energy and Phenomena - 662.1 Automobiles - 671 Naval Architecture - 703.2 Electric Filters - 716.1 Information Theory and Signal Processing - 716.3 Radio Systems and Equipment - 731.1 Control Systems - 655.2 Satellites - 406.2 Roads and Streets - 411.1 Asphalt - 431.5 Air Navigation and Traffic Control - 434.4 Waterway Navigation - 621 Nuclear Reactors - 654.1 Rockets and Missiles - 655.1 Spacecraft, General
Database:Compendex
Compilation and indexing terms, ? 2009 Elsevier Inc.
38. Accession number:20094612449964
Title:Image segmentation in object recognition of mature eggplant
Authors:Li, Zhengming1 ; Wang, Sen1 ; Sun, Jun1
Author affiliation:1 School of Electrical and Information
Engineering, Jiangsu University, Zhenjiang 212013, China
Corresponding author:Li, Z. ([email protected])
Source title:Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery
Abbreviated source title:Nongye Jixie Xuebao
Volume:40
Issue:SUPPL. 1
Issue date:September 2009
Publication year:2009
Pages:105-108 96
Language:Chinese
ISSN:10001298
CODEN:NUYCA3
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Machinery, No. 1 Beishatan Deshengmen Wai, Beijing, 100083, China
Abstract: An auto threshold adaptive algorithm is suggested for image segmentation of the eggplant images acquired in natural light. The segmentation is conducted with the gray-scale, three orthogonal feature vectors based on R, G, B's linear transformation, and the hue component of HSV color model. The experiment result of the segmentation with Matlab shows that the target and background have a good separation based on Otsu algorithm and the optimization of the gray-scale histogram. However, it is also observed that there is the impact of area light reflection on the region of eggplant surface. A new segmentation experiment based on improved Otsu algorithm is conducted with the color feature vector of (2G-R-B)/4 and the result shows that the new algorithm can partially eliminate the impact of light reflection. Finally, the improved Otsu algorithm with hue are tried in the segmentation and the result shows the impact of light reflection completely is effectively removed. The segmentation effect is further improved by removing the noise of hue-segmented binary image through mathematical morphology.
Number of references:9
Main heading:Adaptive algorithms
Controlled terms:Digital image storage - Experiments - Image recognition - Image segmentation - Light reflection - Mathematical morphology - MATLAB - Object recognition - Reflection
Uncontrolled terms:Auto threshold - Color feature vectors - Color models - Eggplant - Feature vectors - Gray scale - Linear transformation - Natural light - Otsu - Otsu algorithm - Target and background - Threshold-adaptive
Classification code:921 Mathematics - 723.2 Data Processing and Image Processing - 723.5 Computer Applications - 741.1 Light/Optics - 741.3 Optical Devices and Systems - 751.1 Acoustic Waves - 901.3 Engineering Research - 723.1.1 Computer Programming Languages - 722.4 Digital Computers and Systems - 722.1 Data Storage, Equipment and Techniques - 716.1 Information Theory and Signal Processing - 716 Telecommunication; Radar, Radio and Television - 711 Electromagnetic Waves - 723 Computer Software, Data Handling and Applications
Database:Compendex
Compilation and indexing terms, ? 2009 Elsevier Inc.
39.Accession number:20094612449957
Title:Evaluation of leveling performance for laser-controlled leveling machine in paddy field based on ultrasonic sensors
Authors:Hu, Lian1 ; Luo, Xiwen1 ; Zhao, Zuoxi1 ; Li, Qing1 ; Chen, Weitong1
Author affiliation:1 Key Laboratory of Key Technology on
Agricultural Machine and Equipment, Ministry of Education,
South China Agricultural University, Guangzhou 510642, China
Corresponding author:Luo, X. ([email protected])
Source title:Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery
Abbreviated source title:Nongye Jixie Xuebao
Volume:40
Issue:SUPPL. 1
Issue date:September 2009
Publication year:2009
Pages:73-76 81
Language:Chinese
ISSN:10001298
CODEN:NUYCA3
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Machinery, No. 1 Beishatan Deshengmen Wai, Beijing, 100083, China
Abstract: In order to evaluate the leveling performance of the paddy field leveling machine, the inclination of the harrow was measured using two SensComp 600 ultrasonic sensors. The ultrasonic sensors were fixed on the harrow's end, and distances of each harrow's end to referenced horizontal were measured to calculate the gradient angle of the harrow. Some factors having effect on the measurement of the gradient angle were analyzed, such as the distance measured by the ultrasonic sensors, the measuring angles of the sensor, and the movement of the sensors. Then the angle was compared with the data from an attitude-heading reference system AHRS500GA-226 device. The results showed that the calculated inclination was quite accurate. The maximum static-error and the maximum dynamic-error were 0.08° and 1.00° respectively. Finally, estimating experiments were conducted in a laboratory. Based on the evaluation results, it was concluded that the leveling control system could measure the inclination real-time and exactly, and the whole leveling system works reliably.
Number of references:13
Main heading:Ultrasonic measurement
Controlled terms:Agricultural machinery - Distance measurement - Leveling (machinery) - Ultrasonic sensors - Ultrasonics
Uncontrolled terms:Evaluation results - Inclination - Leveling control - Leveling machines - Paddy field leveling machine - Paddy fields - Reference systems
Classification code:941.2 Acoustic Variables Measurements - 821.1 Agricultural Machinery and Equipment - 753.3 Ultrasonic Applications - 943.2 Mechanical Variables Measurements - 753.2 Ultrasonic Devices - 732.2 Control Instrumentation - 603.1 Machine Tools, General - 753.1 Ultrasonic Waves
Database:Compendex
Compilation and indexing terms, ? 2009 Elsevier Inc.
40. Accession number:20094612449949
Title:Mathematic models of water application for a variable rate irrigating hill-seeder
Authors:Yang, Shuming1, 2 ; Yang, Qing1 ; Yang, Chenghai3
Author affiliation:1 College of Mechanical and Electronic
Engineering, Northwest A and F University, Yangling, Shaanxi
712100, China
2 College of Mechanical Engineering, Ningxia University,
Yinchuan 750021, China
3 USDA-ARS Kika de la Garza Subtropical Agricultural Research
Center, Weslaco Texas 78596, United States
Corresponding author:Yang, Q. ([email protected])
Source title:Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery
Abbreviated source title:Nongye Jixie Xuebao
Volume:40
Issue:SUPPL. 1
Issue date:September 2009
Publication year:2009
Pages:41-44
Language:Chinese
ISSN:10001298
CODEN:NUYCA3
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Machinery, No. 1 Beishatan Deshengmen Wai, Beijing, 100083, China
Abstract: Variable rate irrigating hill-seeder can automatically adjust the amount of the irrigating water according to the variation in soil moisture content in the field to alleviate drought and save water. Mathematical models for minimizing water application and determining the control time of the electromagnetic valve are developed. Static experiment is conducted with the developed variable rate irrigating hill seeder. Changing water amount in tank and irrigating time, the water amount ejected from the electromagnetic valve varies. The mathematical models for the control time of the electromagnetic valve are established based on the relations among water amount in tank, irrigating time and water amount supplied using linear regression and artificial neural networks. Regression results show that the adjusted coefficients of determination for the linear regression models are 0.992, 0.991 and 0.998 when the tank is 100% full, 1/2 full and 1/8 full, respectively. A 2-5-1 artificial neural network is used to predict irrigating time. The network provides high prediction accuracy with a maximum deviation of 3.95 ms and an average deviation of 1.46 ms.
Number of references:6
Main heading:Mathematical models
Controlled terms:Backpropagation - Computer simulation - Drought - Electromagnetism - Groundwater - Moisture determination - Neural networks - Regression analysis - Soil moisture - Tanks (containers) - Water content
Uncontrolled terms:Artificial Neural Network - Artificial neural networks - Average deviation - Control time - Electromagnetic valves - Hill-seeder - Linear regression models - Mathematic model - Prediction accuracy - Soil moisture content - Static experiments - Variable rate - Variable rate irrigating - Water amount
Classification code:922.2 Mathematical Statistics - 921 Mathematics - 723.5 Computer Applications - 723.4 Artificial Intelligence - 701 Electricity and Magnetism - 944.2 Moisture Measurements - 619.2 Tanks - 461.1 Biomedical Engineering - 444.2 Groundwater - 444 Water Resources - 443.3 Precipitation - 483.1 Soils and Soil Mechanics
Database:Compendex
Compilation and indexing terms, ? 2009 Elsevier Inc.
41.Accession number:20094612449987
Title:Research of image fusion algorithm based on human visual perception feature
Authors:Wei, Yaoguang1 ; Wang, Jianqin1 ; Li, Daoliang1 ; Tu, Xuyan2
Author affiliation:1 College of Information and Electrical
Engineering, China Agricultural University, Beijing 100083,
China
2 College of Information and Engineering, University of
Science and Technology Beijing, Beijing 100083, China
Corresponding author:Wang, J. ([email protected])
Source title:Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery
Abbreviated source title:Nongye Jixie Xuebao
Volume:40
Issue:SUPPL. 1
Issue date:September 2009
Publication year:2009
Pages:206-209
Language:Chinese
ISSN:10001298
CODEN:NUYCA3
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Machinery, No. 1 Beishatan Deshengmen Wai, Beijing, 100083, China
Abstract:To solve the problem of multi-focus image fusion, a new multi-focus image fusion algorithm based on the visual perception feature was proposed. Because the threshold of human visual contrast sensitivity was proportional to the image background brightness, the visual uniform parameter was adopted to separate clear objects from fuzzy objects obtained by different image sensors. Firstly, the image was decomposed at RGB level separately. Secondly, the R, G, B single gray image was divided into sub-blocks. Thirdly, the sub-blocks with higher uniform value were selected as the corresponding sub-blocks of fusion image. Then, the retained sub-blocks were reconstructed to compose the fusion image. The immune genetic algorithm was applied to calculate the optimal number of sub-blocks, and the image quality criterion data, root-mean-square error and image entropy, were chosen as the affinity function of the optimal algorithm. The results have shown that the image fusion algorithm proposed was suitable to multi-focus image fusion and easy to realize.
Number of references:8
Main heading:Image fusion
Controlled terms:Algorithms - Image quality - Image reconstruction - Optimization - Vision
Uncontrolled terms:Affinity functions - Fusion image - Fuzzy objects - Gray image - Human visual - Human visual perception - Image entropy - Image fusion algorithms - Image quality criteria - Immune genetic algorithms - Multifocus image fusion - Optimal algorithm - Optimal number - Root-mean square errors - Sub-blocks - Visual perception
Classification code:921.5 Optimization Techniques - 921 Mathematics - 741.2 Vision - 741 Light, Optics and Optical Devices - 723.2 Data Processing and Image Processing - 723 Computer Software, Data Handling and Applications - 461.4 Ergonomics and Human Factors Engineering
Database:Compendex
Compilation and indexing terms, ? 2009 Elsevier Inc.
42.Accession number:20094612449959
Title:Development and application of low power wireless DC solenoid valve and controlling module
Authors:Shen, Changjun1 ; Zheng, Wengang1 ; Sun, Gang1 ; Yan, Hua1 ; Xing, Zhen1
Author affiliation:1 National Engineering Research Center for
Information Technology in Agriculture, Beijing 100097, China
Corresponding author:Zheng, W. ([email protected])
Source title:Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery
Abbreviated source title:Nongye Jixie Xuebao
Volume:40
Issue:SUPPL. 1
Issue date:September 2009
Publication year:2009
Pages:82-86
Language:Chinese
ISSN:10001298
CODEN:NUYCA3
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Machinery, No. 1 Beishatan Deshengmen Wai, Beijing, 100083, China
Abstract: The mass layout of the cable in field brings many problems in the automatic irrigation control system such as installation, maintenance, and extension. This article suggests a wireless broadcast irrigation control system and designs a low power wireless DC solenoid valve based on OOK modulation and powered by battery. It also introduces how to design and implement the transmission control module with discrete input and digital input. Finally, it provides an application example of automatic irrigation control system based on wireless solenoid valve throughout the greenhouse irrigation in a plantation.
Number of references:10
Main heading:Irrigation
Controlled terms:Control systems - Design - Solenoids
Uncontrolled terms:Application examples - Automatic irrigation - Controlling module - Digital inputs - In-field - Low power wireless - Solenoid valve - Solenoid valves - Transmission control - Wireless broadcast - Wireless communication
Classification code:408 Structural Design - 704.1 Electric Components - 731.1 Control Systems - 821.3 Agricultural Methods - 902.1 Engineering Graphics
Database:Compendex
Compilation and indexing terms, ? 2009 Elsevier Inc.
43.Accession number:20094612449980
Title:Determination of the soil nutrient management zones based on weighted fuzzy clustering
Authors:Yu, Helong1, 2 ; Liu, Dayou1 ; Chen, Guifen1, 2
Author affiliation:1 College of Computer Science and
Technology, Jilin University, Changchun 130012, China
2 College of Information Technology, Jilin Agricultural
University, Changchun 130118, China
Corresponding author:Yu, H. ([email protected])
Source title:Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery
Abbreviated source title:Nongye Jixie Xuebao
Volume:40
Issue:SUPPL. 1
Issue date:September 2009
Publication year:2009
Pages:177-182
Language:Chinese
ISSN:10001298
CODEN:NUYCA3
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Machinery, No. 1 Beishatan Deshengmen Wai, Beijing, 100083, China
Abstract: Weighted fuzzy clustering algorithm is proposed and applied in management zones of soil nutrients. In the algorithm, the determination of the weight of different soil nutrients is a key step. Two methods are used to determine the weight. One is the principal component analysis (PCA). The other is coefficient of variation (C. V). To verify above methods, soil nutrients of N, P, K were sampled at the experimental site, a field in Yushu City of Jilin Province, and then the weighted fuzzy clustering algorithm was used and the number of the management zones was determined. The effectiveness of the weighted fuzzy clustering method was validated by comparing with the traditional fuzzy clustering method. The results show that the weighted fuzzy clustering method is more reasonable and more practical and can be used to support precision fertilization.
Number of references:15
Main heading:Clustering algorithms
Controlled terms:Agriculture - Fuzzy clustering - Fuzzy systems - Nutrients - Principal component analysis - Soils
Uncontrolled terms:Coefficient of variation - Management zones - Precision agriculture - Soil nutrient - Weighted fuzzy clustering
Classification code:961 Systems Science - 821 Agricultural Equipment and Methods; Vegetation and Pest Control - 821.2 Agricultural Chemicals - 822.3 Food Products - 903.1 Information Sources and Analysis - 921.4 Combinatorial Mathematics, Includes Graph Theory, Set Theory - 922.2 Mathematical Statistics - 731.1 Control Systems - 723 Computer Software, Data Handling and Applications - 721 Computer Circuits and Logic Elements - 483.1 Soils and Soil Mechanics - 461.9 Biology - 454.3 Ecology and Ecosystems - 723.4 Artificial Intelligence
Database:Compendex
Compilation and indexing terms, ? 2009 Elsevier Inc.
44. Accession number:20094612449991
Title:Calibration mode of pig growth inspecting system based on binocular stereovision technology
Authors:Fu, Weisen1 ; Teng, Guanghui1
Author affiliation:1 College of Water Conservancy and Civil
Engineering, China Agricultural University, Beijing 100083, China
Corresponding author:Teng, G. ([email protected])
Source title:Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery
Abbreviated source title:Nongye Jixie Xuebao
Volume:40
Issue:SUPPL. 1
Issue date:September 2009
Publication year:2009
Pages:223-227
Language:Chinese
ISSN:10001298
CODEN:NUYCA3
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Machinery, No. 1 Beishatan Deshengmen Wai, Beijing, 100083, China
Abstract: To inspect weight and growth of pigs in real time, an web-based inspecting system based on binocular stereovision technology was developed. Hardware and software related to this inspecting system were established in laboratory condition. The calibration algorithm with non-linear camera model and coordinate inspecting arithmetic based on least square methods was developed. Calibration mode about different numbers, parts and rotating angle of the calibration board images was collected and the inspecting results were analyzed. Results showed that more than 19 calibration board images should be used to get steady system parameters. Collecting the calibration images in all parts of inspecting zone could improve the inspecting precision. There was no obvious difference in inspecting precision at different rotating angle, but a large rotating angle was not conducive to extract all coordinates of the calibration points.
Number of references:11
Main heading:Inspection
Controlled terms: Binoculars - Calibration - Optical instruments - Rotation - Stereo vision
Uncontrolled terms:Binocular stereovision - Calibration algorithm - Calibration points - Growth inspecting - Hardware and software - Inspecting system - Laboratory conditions - Least square methods - Non-linear - Pig - Pig growth - Real time - Rotating angle
Classification code:944 Moisture, Pressure and Temperature, and Radiation Measuring Instruments - 943 Mechanical and Miscellaneous Measuring Instruments - 942 Electric and Electronic Measuring Instruments - 941.3 Optical Instruments - 941 Acoustical and Optical Measuring Instruments - 931.1 Mechanics - 913.3.1 Inspection - 902.2 Codes and Standards - 741.3 Optical Devices and Systems - 741.2 Vision - 731.6 Robot Applications - 723.5 Computer Applications - 601.1 Mechanical Devices
Database:Compendex
Compilation and indexing terms, ? 2009 Elsevier Inc.
45. Accession number:20094612449953
Title:Zero-drift compensation of impact-based grain flow sensor for tilted combine harvester
Authors:Hu, Junwan1, 2 ; Luo, Xiwen1 ; Chen, Shuren3 ; Li, Yaoming3 ; Yang, Hongbo3
Author affiliation: 1 Key Laboratory of Key Technology on
Agricultural Machine and Equipment, Ministry of Education,
South China Agricultural University, Guangzhou 510642, China
2 School of Electronic and Information Engineering, Jiaying
University, Meizhou 514015, China
3 Key Laboratory of Modern Agricultural Equipment and
Technology, Ministry of Education, Jiangsu University,
Zhenjiang 212013, China
Corresponding author:Luo, X. ([email protected])
Source title:Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery
Abbreviated source title:Nongye Jixie Xuebao
Volume:40
Issue:SUPPL. 1
Issue date:September 2009
Publication year:2009
Pages:57-60
Language:Chinese
ISSN:10001298
CODEN:NUYCA3
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Machinery, No. 1 Beishatan Deshengmen Wai, Beijing, 100083, China
Abstract: Zero-drift of the grain flow sensor leads to a significant error when the combine harvester tilted. The purpose of this paper is to study the effects of combine harvester tilt on the zero-drift of the impact-based grain flow sensor, and propose an innovated grain flow sensor that can stabilize zero-drift when combine harvester titled. With the single plate impact-based grain flow sensor fixed in a combine harvester, the zero-drift voltage of the grain flow sensor is recorded while the combine harvester tilted between -15° and 15°. The test result shows that there is a linear relationship between the zero-drift and the obliquity, and the zero-drift voltage is 25.4 mV when the combine harvester tilted at 15°. A dual-plate differential impact-based grain flow sensor is developed to compensate the zero drift. The tilt experimental results show that the zero-drift of the two plates are consistent each other, and thus the overall zero-drift voltage of the sensor is reduced from 25.4 mV to 1 mV.
Number of references:14
Main heading:Harvesters
Controlled terms:Sensors
Uncontrolled terms:Compensation - Grain flow sensor - Impact - Tilt - Zero drift
Classification code:732.2 Control Instrumentation - 801 Chemistry - 821.1 Agricultural Machinery and Equipment
Database:Compendex
Compilation and indexing terms, ? 2009 Elsevier Inc.
46.Accession number:20094612449976
Title: Spatial statistic properties of agronomic parameters and soil moisture content in wheat jointing stage
Authors:Yang, Yujian1 ; Zhu, Jianhua1 ; Liu, Shuyun1 ; Tang, Yan1 ; Liu, Yanzhong1 ; Feng, Weijie1
Author affiliation:1 Information Center of Shandong Academy of Agricultural Science, Ji'nan 250100, China
Corresponding author:Yang, Y. ([email protected])
Source title:Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery
Abbreviated source title:Nongye Jixie Xuebao
Volume:40
Issue:SUPPL. 1
Issue date:September 2009
Publication year:2009
Pages:159-164
Language:Chinese
ISSN:10001298
CODEN:NUYCA3
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Machinery, No. 1 Beishatan Deshengmen Wai, Beijing, 100083, China
Abstract:The experimental area was selected in Lingxian County of Shandong Province. Based on the GPS positioning data, soil moisture content, chlorophyll content and wheat dry matter production was measured. Geostatistical analysis was conducted combined with geographical information system (GIS) and the semivariogram models were established. It was found that a spherical model fit semivariogram model of soil moisture content better, and a Gaussian model was the better model for wheat chlorophyll content and dry matter production. The results showed soil moisture content and wheat chlorophyll content had the strong spatial autocorrelation, and the ratio of structural variation was 97.3% and 81.3%. Wheat dry matter production has the medium spatial autocorrelation, and the structural variation was 50%. Block Kriging was applied, and the spatial distributing maps and maps of standard deviation of Kriging estimates were drawn. From the distribution types, it was observed that the Kriging estimates maps of soil moisture content and wheat chlorophyll content had obvious slabby and plaques characteristics while the map of wheat dry matter production had ribbon characteristics.
Number of references:20
Main heading:Soil surveys
Controlled terms:Agronomy - Chlorophyll - Correlation detectors - Geographic information systems - Geologic models - Groundwater - Moisture determination - Permittivity - Porphyrins - Soil moisture
Uncontrolled terms:Agronomic parameters - Block Kriging - Chlorophyll contents - Dry matter production - Gaussian model - Geographical information systems - Geostatistical analysis - GPS positioning - Kriging - Moisture content - Semivariograms - Shandong province - Soil moisture content - Spatial autocorrelations - Spatial statistics - Spherical models - Standard deviation - Structural variations - Winter wheat
Classification code:717 Optical Communication - 718 Telephone Systems and Related Technologies; Line Communications - 723.3 Database Systems - 944.2 Moisture Measurements - 801.2 Biochemistry - 821.3 Agricultural Methods - 903.3 Information Retrieval and Use - 804.1 Organic Compounds - 716 Telecommunication; Radar, Radio and Television - 713.3 Modulators, Demodulators, Limiters, Discriminators, Mixers - 406.2 Roads and Streets - 444.2 Groundwater - 481.1 Geology - 483.1 Soils and Soil Mechanics - 701 Electricity and Magnetism - 708.1 Dielectric Materials
Database:Compendex
Compilation and indexing terms, ? 2009 Elsevier Inc.
47.Accession number:20094612449971
Title:Development and application of an electronic nose system based on ARM9
Authors:Bai, Fuming1 ; Huang, Pinwen1 ; Zheng, Limin1 ; Tian, Lijun1 ; Wu, Ping1 ; Ren, Fazheng2
Author affiliation:1 College of Information and Electrical
Engineering, China Agricultural University, Beijing 100083,
China
2 College of Food Science and Nutritional Engineering, China
Agricultural University, Beijing 100083, China
Corresponding author:Bai, F. ([email protected])
Source title:Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery
Abbreviated source title:Nongye Jixie Xuebao
Volume:40
Issue:SUPPL. 1
Issue date:September 2009
Publication year:2009
Pages:138-142
Language:Chinese
ISSN:10001298
CODEN:NUYCA3
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Machinery, No. 1 Beishatan Deshengmen Wai, Beijing, 100083, China
Abstract: An embedded electronic nose is developed including three modules, a sensor array, an A/D system, and a microprocessor. The sensor array composed of three gas sensors, TGS813, TGS825 and TGS880 produced by Figaro company, is used to collect sample signal. A MAX1270 chip produced by MAXIM company is used as A/D converter. The S3C2410 microprocessor produced by SAMSUNG company is used as CPU with the embedded operating system WINCE. The signal is simulated by a logarithm curve by designed software, and BP neural network is used to train the curve parameters and build the model to identify the samples. This system is used to identify Italian Ambrosi cheese with four different production dates, and the recognition accuracy reaches 100%. To identify pure milk in three different companies, the recognition accuracy reaches 100% too. The results show that the system has several advantages such as small size, light weight, easy to use, high recognition accuracy etc.
Number of references:10
Main heading:Chemical sensors
Controlled terms:Algebra - Analog to digital conversion - Artificial organs - Computer operating systems - Gas detectors - Microprocessor chips - Neural networks - Pattern recognition - Sensor arrays - Sensory aids
Uncontrolled terms:A/D converter - BP neural networks - Curve parameters - Electronic nose systems - Embedded electronic nose - Embedded electronics - Embedded operating systems - Gas sensor - Light weight - Recognition accuracy - S3C2410 - Samsung - Small size - Three gas
Classification code:943.3 Special Purpose Instruments - 722.5 Analog and Hybrid Computers - 723 Computer Software, Data Handling and Applications - 723.4 Artificial Intelligence - 723.5 Computer Applications - 732 Control Devices - 741.1 Light/Optics - 751.1 Acoustic Waves - 801 Chemistry - 914.1 Accidents and Accident Prevention - 921.1 Algebra - 722.4 Digital Computers and Systems - 461.1 Biomedical Engineering - 461.5 Rehabilitation Engineering and Assistive Technology - 462.1 Biomedical Equipment, General - 462.4 Prosthetics - 722 Computer Systems and Equipment - 503.2 Coal Mining Operations - 714.2 Semiconductor Devices and Integrated Circuits - 716 Telecommunication; Radar, Radio and Television - 721 Computer Circuits and Logic Elements - 522 Gas Fuels
Database:Compendex
Compilation and indexing terms, ? 2009 Elsevier Inc.
48. Accession number:20094612449963
Title:Segmentation algorithm for green apples recognition based on k-means algorithm
Authors:Si, Yongsheng1, 2 ; Liu, Gang1 ; Gao, Rui1
Author affiliation:1 Key Laboratory of Modern Precision
Agriculture System Integration Research, Ministry of
Education, China Agricultural University, Beijing 100083, China
2 College of Information Science and Technology, Agricultural
University of Hebei, Baoding 071001, China
Corresponding author:Liu, G. ([email protected])
Source title:Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery
Abbreviated source title:Nongye Jixie Xuebao
Volume:40
Issue:SUPPL. 1
Issue date:September 2009
Publication year:2009
Pages:100-104
Language:Chinese
ISSN:10001298
CODEN:NUYCA3
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Machinery, No. 1 Beishatan
Deshengmen Wai, Beijing, 100083, China
Abstract: An apple recognition method based on K-means algorithm is proposed for the green apples that have similar color with leaves. The image is divided into 8 × 8 pixel blocks and the block is taken as the segmentation unit by the algorithm. Color difference R-B was selected as color feature and mean value, standard deviation and regional entropy of gray scale images are selected as texture features. The feature vectors including color feature and texture features are extracted. Gap statistic is applied to calculate the best number of the clusters. The recognition experiment is conducted to test the algorithm with 200 sample images taken in different illumination conditions. The experimental results show that the apple fruits can be recognized successfully both in front light conditions and back light conditions. The recognition rate reaches 81%.
Number of references:11
Main heading:Algorithms
Controlled terms:Agricultural products - Color - Computer vision - Fruits - Image recognition - Textures
Uncontrolled terms:Apple - Apple fruits - Color difference - Color features - Feature vectors - Gap statistic - Gray-scale images - Illumination conditions - K-means algorithm - Light conditions - Machine vision - Mean values - Recognition methods - Recognition rates - Segmentation algorithms - Standard deviation - Texture features
Classification code:921 Mathematics - 821.4 Agricultural Products - 751.1 Acoustic Waves - 741.2 Vision - 933 Solid State Physics - 741.1 Light/Optics - 723.5 Computer Applications - 723 Computer Software, Data Handling and Applications - 716 Telecommunication; Radar, Radio and Television - 731.6 Robot Applications
Database:Compendex
Compilation and indexing terms, ? 2009 Elsevier Inc.
49. Accession number:20094612449983
Title:Calculation system of light distribution within crop canopy based on radiosity method
Authors:Wen, Weiliang1 ; Meng, Jun1, 2 ; Guo, Xinyu1 ; Wang, Xue1 ; Xiao, Boxiang1 ; Lu, Shenglian1
Author affiliation:1 National Engineering Research Center for
Information Technology in Agriculture, Beijing 100097, China
2 Life Science Department, Luoyang Normal University, Luoyang
471022, China
Corresponding author:Guo, X. ([email protected])
Source title:Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery
Abbreviated source title:Nongye Jixie Xuebao
Volume:40
Issue:SUPPL. 1
Issue date:September 2009
Publication year:2009
Pages:190-193
Language:Chinese
ISSN:10001298
CODEN:NUYCA3
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Machinery, No. 1 Beishatan Deshengmen Wai, Beijing, 100083, China
Abstract: In order to provide an effective tool for light distribution calculation within crop canopy on Windows platform, a light distribution calculation system derived from RGM model was developed using C language and OpenGL library. A maize canopy geometrical model was taking as the experimental example. Parameters were selected on the basis of feasible RGM model. The related methods were improved according to the characteristics of crop canopy. On the basis of 3-D maize canopy model, the light distribution situation of each organ facet could be calculated in real time by using parameters input via human-computer interaction. The system had user-friendly interface and was easy to operate. It only needed few input parameters and most parameters were meaningful in botany and agriculture.
Number of references:12
Main heading:Simulators
Controlled terms:Crops - Human computer interaction - Knowledge management - Three dimensional
Uncontrolled terms:C language - Calculation systems - Crop canopy - Effective tool - Geometrical models - Input parameter - Light distribution - Maize canopy - Radiosity - Radiosity method - Real time - Simulation - User friendly interface - Windows platform
Classification code:902.1 Engineering Graphics - 821.4 Agricultural Products - 723.5 Computer Applications - 722.2 Computer Peripheral Equipment - 671 Naval Architecture - 903.3 Information Retrieval and Use - 662.1 Automobiles - 655.2 Satellites - 654.1 Rockets and Missiles - 621 Nuclear Reactors - 461.4 Ergonomics and Human Factors Engineering - 657.1 Solar Energy and Phenomena
Database:Compendex
Compilation and indexing terms, ? 2009 Elsevier Inc.
50. Accession number:20094612449945
Title:Detection in the working area of agricultural vehicle based on machine vision
Authors:Ding, Youchun1 ; Wang, Shumao2 ; Chen, Hong1
Author affiliation:1 Engineering and Technology Department,
Huazhong Agricultural University, Wuhan 430070, China
2 College of Engineering, China Agricultural University,
Beijing 100083, China
Corresponding author:Wang, S. ([email protected])
Source title:Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery
Abbreviated source title:Nongye Jixie Xuebao
Volume:40
Issue:SUPPL. 1
Issue date:September 2009
Publication year:2009
Pages:23-27 17
Language:Chinese
ISSN:10001298
CODEN:NUYCA3
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Machinery, No. 1 Beishatan Deshengmen Wai, Beijing, 100083, China
Abstract: Obstacle detection is a key component of autonomous systems. A obstacle detection method combined monocular vision and stereo vision is studied for the vision navigated combine harvester. For monocular vision detection, H and S components are used to segment the image acquired by the left camera mounted on the combine harvester, and then through the fixed threshold value and binary processing the potential obstacle area is located. For stereo vision, the SIFT features are extracted from the potential obstacle area, and the ANN algorithm is utilized to get matching points. According to the obtained world coordinates the obstacle and the distance from the vehicle are calculated. In order to reduce the processing time the coefficient of image size linear transform is analyzed and it shows that the matching points are enough to satisfy the system need and the processing time is less than 200 ms when the coefficient is 4.0. The experiment using various mature wheat videos indicates that the method is valid to detect obstacles in front of the vehicle.
Number of references:17
Main heading:Stereo vision
Controlled terms:Automobile parts and equipment - Color matching - Computer vision - Harvesters - Image matching - Object recognition - Obstacle detectors - Vehicles
Uncontrolled terms:Agricultural vehicle - Agricultural vehicles - ANN algorithm - Autonomous systems - Binary processing - Color segmentation - Combine harvesters - Feature matching - Fixed threshold - Image sizes - Key component - Linear transform - Matching points - Monocular vision - Obstacle detection - On-machines - Processing Time - SIFT Feature - World coordinates
Classification code:741 Light, Optics and Optical Devices - 741.1 Light/Optics - 741.2 Vision - 914.1 Accidents and Accident Prevention - 751.1 Acoustic Waves - 803 Chemical Agents and Basic Industrial Chemicals - 821.1 Agricultural Machinery and Equipment - 801 Chemistry - 731.6 Robot Applications - 723.5 Computer Applications - 432 Highway Transportation - 662.4 Automobile and Smaller Vehicle Components - 663.2 Heavy Duty Motor Vehicle Components - 681.3 Railroad Signals and Signaling - 716 Telecommunication; Radar, Radio and Television - 723.2 Data Processing and Image Processing
Database:Compendex
Compilation and indexing terms, ? 2009 Elsevier Inc.
51. Accession number:20094612449978
Title:GPS-based information collection technology for agriculture mobile management
Authors:Wu, Caicong1 ; Fu, Cheng1 ; Su, Huaihong1 ; Zheng, Lihua2 ; Ji, Ronghua3 ; Hu, Yongguang4
Author affiliation:1 Institute of Remote Sensing and GIS,
Peking University, Beijing 100871, China
2 Key Laboratory of Modern Precision Agriculture System
Integration Research, Ministry of Education, China
Agricultural University, Beijing 100083, China
3 College of Information and Electric Engineering, China
Agricultural University, Beijing 100083, China
4 Key Laboratory of Modern Agricultural Equipment and
Technology, Ministry of Education and Jiangsu Province,
Jiangsu University, Zhenjiang 212013, China
Corresponding author:Wu, C. ([email protected])
Source title:Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery
Abbreviated source title:Nongye Jixie Xuebao
Volume:40
Issue:SUPPL. 1
Issue date:September 2009
Publication year:2009
Pages:169-172 209
Language:Chinese
ISSN:10001298
CODEN:NUYCA3
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Machinery, No. 1 Beishatan Deshengmen Wai, Beijing, 100083, China
Abstract: The technical frame of agriculture mobile management system for interactive management in the field was designed based on the mobile terminal, embedded GIS, and wireless communication. The related technologies of wireless collection for field information, image capturing based on GPS location, differential data collection from GPS virtual reference stations, and wireless communication for field information were developed. The prototype of the agriculture mobile system was also developed for experiments. The mobile terminal has the functions of GPS positioning and navigation, images capturing based on GPS, image editing and viewing, thematic map making, properties indexing, field grid making, and so on. The prototype system was experimented for information collection and site management in 2008. The result shows that it is practical in agriculture mobile management.
Number of references:7
Main heading:Management
Controlled terms:Agriculture - Augmented reality - Computer terminals - Global positioning system - Maps - Mobile phones - Virtual reality - Wireless telecommunication systems
Uncontrolled terms:Differential data - Embedded GIS - GPS location - GPS positioning - Image capturing - Image editing - Information collection - Information collections - Mobile management - Mobile systems - Mobile terminal - Precision agriculture - Prototype system - Site management - Virtual reference stations - Wireless communications
Classification code:912.2 Management - 902.1 Engineering Graphics - 821 Agricultural Equipment and Methods; Vegetation and Pest Control - 723 Computer Software, Data Handling and Applications - 722.2 Computer Peripheral Equipment - 943.3 Special Purpose Instruments - 718.1 Telephone Systems and Equipment - 716.3 Radio Systems and Equipment - 716 Telecommunication; Radar, Radio and Television - 655.2.1 Communication Satellites - 405.3 Surveying - 717 Optical Communication
Database:Compendex
Compilation and indexing terms, ? 2009 Elsevier Inc.
52. Accession number:20094612449997
Title:Development of a solar-induced chlorophyll fluorescence monitor based on fraunhofer line principle
Authors:Sun, Gang1 ; Liu, Liangyun2 ; Zheng, Wengang1 ; Huang, Wenjiang1 ; Yin, Ming1
Author affiliation:1 National Engineering Research Center for
Information Technology in Agriculture, Beijing 100097, China
2 Center for Earth Observation and Digital Earth, Chinese
Academy of Sciences, Beijing 100083, China
Corresponding author:Zheng, W. ([email protected])
Source title:Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery
Abbreviated source title:Nongye Jixie Xuebao
Volume:40
Issue:SUPPL. 1
Issue date:September 2009
Publication year:2009
Pages:248-251 236
Language:Chinese
ISSN:10001298
CODEN:NUYCA3
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Machinery, No. 1 Beishatan Deshengmen Wai, Beijing, 100083, China
Abstract: A portable solar-induced chlorophyll fluorescence monitor based on this principle was developed and tested. The instrument uses sunlight as its light source. There are two sets of photoelectrical detectors with the center wavelength at 760 nm and 771 nm respectively and the bandwidth of each detector is 1 nm. Both sets of detectors are composed of an upper detector which are used for detecting incidence sunlight and a bottom detector which are used for detecting reflected light from the canopy of crop. The detector is the core of the monitor to measure the spectrums at special bands. The microprocessor calculates solar-induced fluorescence value based on the A/D values obtained from detectors. And the value can be displayed on the LCD, stored in the flash memory and uploaded to PC through the PC's serial interface. The prototype was tested in the crop field at different view directions and the results demonstrated that the instrument could measure the solar-induced chlorophyll value accurately with the correlation coefficients higher than 0.9 compared with the values obtained from analytical spectral devices FieldSpec Pro NIR spectrometer.
Number of references:7
Main heading:Detectors
Controlled terms:Absorption spectra - Chlorophyll - Crops - Flash memory - Fluorescence - Light - Light sources - Porphyrins
Uncontrolled terms:Analytical spectral devices - Center wavelength - Chlorophyll fluorescence - Correlation coefficient - Crop fields - Fraunhofer line principle - Fraunhofer lines - NIR spectrometer - Photoelectrical detectors - Reflected light - Serial interfaces - Solar-induced chlorophyll fluorescence - Value-based
Classification code:914 Safety Engineering - 821.4 Agricultural Products - 804.1 Organic Compounds - 801.2 Biochemistry - 744 Lasers - 741.3 Optical Devices and Systems - 741.1 Light/Optics - 722.1 Data Storage, Equipment and Techniques - 714.2 Semiconductor Devices and Integrated Circuits - 711.2 Electromagnetic Waves in Relation to Various Structures - 707.2 Electric Lamps
Database:Compendex
Compilation and indexing terms, ? 2009 Elsevier Inc.
53. Accession number:20094612449956
Title:Tractor-mounted field 3-D topography surveying system
Authors:Lang, Xiaozhe1 ; Liu, Gang1 ; Xie, Xingfu1 ; Meng, Qingkuan1 ; Yang, Zheng1
Author affiliation:1 Key Laboratory of Modern Precision
Agriculture System Integration Research, Ministry of
Education, China Agricultural University, Beijing 100083, China
Corresponding author:Liu, G. ([email protected])
Source title:Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery
Abbreviated source title:Nongye Jixie Xuebao
Volume:40
Issue:SUPPL. 1
Issue date:September 2009
Publication year:2009
Pages:69-72
Language:Chinese
ISSN:10001298
CODEN:NUYCA3
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Machinery, No. 1 Beishatan Deshengmen Wai, Beijing, 100083, China
Abstract: In order to obtain the topographic information efficiently, a tractor-mounted field 3-D topography surveying system was developed. The surveying system consisted of a measuring laser receiver, a GPS receiver, an intelligent controller and a hydraulic system. Furthermore the system could also conduct laser land leveling. The measuring laser receiver was used to obtain the elevation, and the GPS receiver was employed to obtain the longitude and latitude data. Both of them were fused in the controller so as to get the 3-D topographic information. The field experiments were carried out in different moving speeds and then the data measured by the surveying system were compared with the data from the fixed-point surveying method. The results show that the surveying system has a good consistency with the fixed-point surveying method in lower moving speed.
Number of references:8
Main heading:Surveying
Controlled terms:Global positioning system - Hydraulic equipment - Lasers - Three dimensional - Tractors (agricultural) - Tractors (truck)
Uncontrolled terms:3-D topography - Field experiment - GPS - GPS receivers - Hydraulic system - Intelligent controllers - Land leveling - Laser receivers - Moving speed - Topographic information - Topographic surveying
Classification code:902.1 Engineering Graphics - 821.1 Agricultural Machinery and Equipment - 744.1 Lasers, General - 723.5 Computer Applications - 943.3 Special Purpose Instruments - 716.3 Radio Systems and Equipment - 655.2.1 Communication Satellites - 632.2 Hydraulic Equipment and Machinery - 405.3 Surveying - 663.1 Heavy Duty Motor Vehicles
Database:Compendex
Compilation and indexing terms, ? 2009 Elsevier Inc.
54.Accession number:20094612449974
Title:Real-time analysis of soil total N and P with near infrared reflectance spectroscopy
Authors:Yuan, Shilin1 ; Ma, Tianyun1 ; Song, Tao1 ; He, Yong1 ; Bao, Yidan1
Author affiliation:1 College of Biosystems Engineering and
Food Science, Zhejiang University, Hangzhou 310029, China
Corresponding author:Bao, Y. ([email protected])
Source title:Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery
Abbreviated source title:Nongye Jixie Xuebao
Volume:40
Issue:SUPPL. 1
Issue date:September 2009
Publication year:2009
Pages:150-153
Language:Chinese
ISSN:10001298
CODEN:NUYCA3
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Machinery, No. 1 Beishatan Deshengmen Wai, Beijing, 100083, China
Abstract: The tide salt clay in Zhejiang Province was selected as research object, and the soil N and soil P were analyzed with NIR spectroscopic techniques. Six group samples were collected from a rice farm. Several kinds of nutritional water with different concentrations were added to the six groups, and then the samples were dried and rubbed. At last, 120 samples were got from six groups equably. Standard normal variate (SNV), multivariate scatter correction (MSC) and smoothing of moving average were used to process the spectral data. Different calibration models were established and the performance of these models was compared with different pretreatment methods. After comparison, smoothing of moving average was found to be the best spectral pretreatment method. 96 samples were randomly selected from 120 samples as the calibration set, and the other 24 samples were used as the validation samples. Two discriminating analysis models were developed using partial least squares (PLS) method and least squares-support vector machine (LS-SVM) method respectively. The correlation coefficients (r) between the measured data and the predicted data from PLS were 0.9454(N), 0.9327(P) respectively, and 0.0321(N), 0.9547(P) from LS-SVM, respectively. The root mean standard error of prediction (RMSEP) were 0.0321(N), 0.0089(P) from PLS, and 0.0378(N), 0.0101(P) from LS-SVM. The results showed that NIRS could be used to evaluate the soil N and soil P.
Number of references:8
Main heading:Soil surveys
Controlled terms:Calibration - Clay minerals - Drug products - Group technology - Image retrieval - Infrared devices - Infrared spectroscopy - Infrared transmission - Near infrared spectroscopy - Soils - Spectroscopic analysis - Spectrum analysis - Support vector machines - Textiles
Uncontrolled terms:Analysis models - Calibration model - Correlation coefficient - Least squares-support vector machine (LS-SVM) - Least-squares support vector machines - Measured data - Moving averages - Near infrared reflectance spectroscopy - Partial least square regression (PLS) - Partial least squares - Pretreatment methods - Real time analysis - Research object - Scatter correction - Spectral data - Spectroscopic technique - Standard error of prediction - Standard normal variates - Total soil N - Total soil P - Zhejiang Province
Classification code:913.1 Production Engineering - 913.2 Production Control - 921 Mathematics - 922.2 Mathematical Statistics - 931.2 Physical Properties of Gases, Liquids and Solids - 902.2 Codes and Standards - 931.3 Atomic and Molecular Physics - 941.4 Optical Variables Measurements - 942 Electric and Electronic Measuring Instruments - 943 Mechanical and Miscellaneous Measuring Instruments - 944 Moisture, Pressure and Temperature, and Radiation Measuring Instruments - 941 Acoustical and Optical Measuring Instruments - 819 Synthetic and Natural Fibers; Textile Technology - 461.6 Medicine and Pharmacology - 482.2 Minerals - 483.1 Soils and Soil Mechanics - 723 Computer Software, Data Handling and Applications - 723.2 Data Processing and Image Processing - 406.2 Roads and Streets - 741 Light, Optics and Optical Devices - 741.3 Optical Devices and Systems - 801 Chemistry - 804.1 Organic Compounds - 804.2 Inorganic Compounds - 741.1 Light/Optics
Database:Compendex
Compilation and indexing terms, ? 2009 Elsevier Inc.
55. Accession number:20094612449969
Title:Sensors integration in RFID tags for agricultural traceability
Authors:Zhang, Xinlu1 ; Wang, Cheng1 ; Wu, Yong2 ; Qiao, Xiaojun1 ; Hou, Ruifeng1 ; Wang, Kaiyi1
Author affiliation:1 National Engineering Research Center for
Information Technology in Agriculture, Beijing 100097, China
2 School of Mechanical Electronic and Information Engineering,
China University of Mining and Technology, Beijing 100083, China
Corresponding author:Wang, C. ([email protected])
Source title:Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery
Abbreviated source title:Nongye Jixie Xuebao
Volume:40
Issue:SUPPL. 1
Issue date:September 2009
Publication year:2009
Pages:129-133
Language:Chinese
ISSN:10001298
CODEN:NUYCA3
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Machinery, No. 1 Beishatan Deshengmen Wai, Beijing, 100083, China
Abstract: It is a bottleneck of transparency of the agricultural traceability system to acquire environmental parameter of agricultural products in the supply chain real-time and accurately. Radio frequency identification (RFID) technology has been a research hotspot in recent years as a new automatic identification technology. It is significant to combine RFID tag with sensor to the agricultural products traceability system. It can detect and record temperature, humidity and other important parameters, and it can be identified by wireless communication. The current development status of this kind of tag was reviewed both in China and other countries. The key technology is analyzed, and the existing problems and solutions are pointed out. It provides a reference for further research on RFID tags integrated sensors.
Number of references:29
Main heading:Radio navigation
Controlled terms:Agricultural products - Automation - Electronic data interchange - Radio frequency identification (RFID) - Radio waves - Sensors - Supply chains
Uncontrolled terms:Automatic identification - Environmental parameter - Existing problems - Hot spot - Integrated sensors - Key technologies - Radio frequency identification technology - RFID tags - Sensors integration - Traceability of agricultural products - Traceability systems - Wireless communications
Classification code:912 Industrial Engineering and Management - 911.3 Inventory Control - 821.4 Agricultural Products - 801 Chemistry - 732.2 Control Instrumentation - 913 Production Planning and Control; Manufacturing - 732 Control Devices - 731 Automatic Control Principles and Applications - 723.2 Data Processing and Image Processing - 716.3 Radio Systems and Equipment - 711 Electromagnetic Waves - 731.1 Control Systems
Database:Compendex
Compilation and indexing terms, ? 2009 Elsevier Inc.
56. Accession number:20094612449960
Title:Effects of spectral pretreatment and wavelength selection on discrimination of maize seed varieties by NIR spectroscopy
Authors:Guo, Tingting1 ; Wu, Wenjin2 ; Su, Qian2 ; Wang, Shoujue1 ; An, Dong2
Author affiliation:1 Institute of Semiconductors, Chinese
Academy of Sciences, Beijing 100083, China
2 College of Information and Electrical Engineering, China
Agricultural University, Beijing 100083, China
Corresponding author:An, D. ([email protected])
Source title:Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery
Abbreviated source title:Nongye Jixie Xuebao
Volume:40
Issue:SUPPL. 1
Issue date:September 2009
Publication year:2009
Pages:87-92
Language:Chinese
ISSN:10001298
CODEN:NUYCA3
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Machinery, No. 1 Beishatan Deshengmen Wai, Beijing, 100083, China
Abstract: In this paper, we study the effects of wavelength selection and data pretreatments, including no pretreatment, standard normal variate transformation (SNV), vector normalization, smoothing, first and second derivative transformation, on the discrimination of maize seed varieties. The performance of the pretreatment methods is evaluated on the basis of the two data sets: all-range spectral data and the data of the characteristic wavelengths selected by a standard deviation-based feature selection method, respectively. The correct acceptance rate (CAR) and the correct rejection rate (CRR) are used as the criteria for the discrimination models. The results show that the best model uses first derivative and all-range spectral and using the best model both CAR and CRR for five varieties reach 100%, and the average CAR and CRR attains 98.6% and 98%. The wavelength selection can only improve CGR of SNV and vector normalization models.
Number of references:14
Main heading:Infrared spectroscopy
Controlled terms:Infrared devices - Law enforcement - Near infrared spectroscopy - Spectroscopic analysis - Textiles - Wavelength
Uncontrolled terms:Acceptance rate - Best model - Data pretreatments - Data sets - Discrimination model - Feature selection methods - First derivative - Maize - Maize seeds - NIR spectroscopy - Pre-Treatment - Pretreatment methods - Rejection rates - Second derivatives - Spectral data - Spectral pretreatment - Standard deviation - Standard normal variate transformations - Variety discrimination - Vector normalization - Wavelength selection
Classification code:941.4 Optical Variables Measurements - 931.3 Atomic and Molecular Physics - 931.2 Physical Properties of Gases, Liquids and Solids - 902.3 Legal Aspects - 819 Synthetic and Natural Fibers; Textile Technology - 971 Social Sciences - 801 Chemistry - 751.1 Acoustic Waves - 741.3 Optical Devices and Systems - 741.1 Light/Optics - 711 Electromagnetic Waves - 753.1 Ultrasonic Waves
Database:Compendex
Compilation and indexing terms, ? 2009 Elsevier Inc.
57. Accession number:20094612449984
Title:Real-time measuring system for fruiter canopy parameters
Authors:Yu, Long1 ; Zhao, Zuoxi1 ; Hong, Tiansheng1
Author affiliation:1 Key Laboratory of Key Technology on
Agricultural Machine and Equipment, Ministry of Education,
South China Agricultural University, Guangzhou 510642, China
Corresponding author:Hong, T. ([email protected])
Source title:Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery
Abbreviated source title:Nongye Jixie Xuebao
Volume:40
Issue:SUPPL. 1
Issue date:September 2009
Publication year:2009
Pages:194-197
Language:Chinese
ISSN:10001298
CODEN:NUYCA3
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Machinery, No. 1 Beishatan Deshengmen Wai, Beijing, 100083, China
Abstract: To achieve precision application of pesticides and fertilizers to fruiter, a real-time measuring system for fruiter canopy parameters is developed to guide precision spraying in orchard. It can reduce the negative impacts on the environment as well as improve fruit safety. The system consists of crop identification system, vehicle attitude system, master control unit and data logger unit, and a CAN bus is used to connect the microprocessors involved. Primary experiments are conducted on five adjacent trees with regular cylinder-shaped canopy on the campus for three times. Four independent ultrasonic sensors are used to measures the canopy of the target trees on a time-division basis. System sampling rate is 5 times/s; and the tractor-traveling speed of 0.3 m/s is selected. Experiments show that the system can detect fruiter canopy size in real-time, and provide a good measuring and controlling platform for precision spraying based on tree canopy.
Number of references:14
Main heading:Ultrasonic applications
Controlled terms:Buses - Measurement theory - Time measurement - Ultrasonic sensors - Ultrasonics
Uncontrolled terms:Adjacent tree - CAN bus - Canopy parameter - Control unit - Crop identification - Data logger - Fruiter - Measuring systems - Negative impacts - Precision applications - Profile spray - System-sampling rate - Tree canopy
Classification code:943.3 Special Purpose Instruments - 922 Statistical Methods - 753.3 Ultrasonic Applications - 753.2 Ultrasonic Devices - 753.1 Ultrasonic Waves - 732.2 Control Instrumentation - 663.1 Heavy Duty Motor Vehicles
Database:Compendex
Compilation and indexing terms, ? 2009 Elsevier Inc.
58.Accession number:20094612449958
Title:Laser receiver used for laser-controlled land leveling system
Authors:Xie, Xingfu1 ; Liu, Gang1 ; Lang, Xiaozhe1 ; Meng, Qingkuan1
Author affiliation:1 Key Laboratory of Modern Precision
Agriculture System Integration Research, Ministry of
Education, China Agricultural University, Beijing 100083, China
Corresponding author:Liu, G. ([email protected])
Source title:Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery
Abbreviated source title:Nongye Jixie Xuebao
Volume:40
Issue:SUPPL. 1
Issue date:September 2009
Publication year:2009
Pages:77-81
Language:Chinese
ISSN:10001298
CODEN:NUYCA3
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Machinery, No. 1 Beishatan Deshengmen Wai, Beijing, 100083, China
Abstract: Laser receiver was a key component of the laser-controlled land leveling system. In order to improve the quality of the laser signal, extend the operating range, and reduce the noise, a novel laser receiver based on integrated IC was developed. Red polymethyl methacrylate was used as the material of the in-light window to reduce the background light into the laser receiver. Interference filters were used at the laser receiver to further reduce the background light. Photo-electric cells were used to transform light signal into electrical signal. Integrated operational amplifiers were used in low-noise pre-amplifier and main amplifier to amplify the weak electrical signal effectively. The wave shaping circuit and the widening circuit were employed to make the signal conditioning better and perform the signal transformation from spike pulse signal to digital TTL signal. The results of the field experiments show that the receiver works stable within 150 m for all directions. The vertical workable ranger is 28.4 cm which allows the 2 cm of accuracy in land leveling.
Number of references:10
Main heading:Signal receivers
Controlled terms:Electric variables measurement - Lasers - Leveling (machinery) - Operational amplifiers
Uncontrolled terms:Background light - Electrical signal - Field experiment - Interference filters - Key component - Land leveling - Laser receiver - Laser receivers - Laser signals - Light signal - Low noise - Main amplifiers - Operating ranges - Pre-amplifier circuit - Pre-amplifiers - Pulse signal - Signal conditioning - Signal transformation - Wave shaping circuit - Waveshaping - Weak electrical signal - Widening circuit
Classification code:942.2 Electric Variables Measurements - 744.1 Lasers, General - 718 Telephone Systems and Related Technologies; Line Communications - 717 Optical Communication - 716 Telecommunication; Radar, Radio and Television - 713.1 Amplifiers - 603.1 Machine Tools, General
Database:Compendex
Compilation and indexing terms, ? 2009 Elsevier Inc.
59.Accession number:20094612449966
Title:Classification of tea grades by multi-spectral images and combined features
Authors:Li, Xiaoli1 ; He, Yong1
Author affiliation:1 College of Biosystems Engineering and
Food Science, Zhejiang University, Hangzhou 310029, China
Corresponding author:He, Y. ([email protected])
Source title:Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery
Abbreviated source title:Nongye Jixie Xuebao
Volume:40
Issue:SUPPL. 1
Issue date:September 2009
Publication year:2009
Pages:113-118
Language:Chinese
ISSN:10001298
CODEN:NUYCA3
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Machinery, No. 1 Beishatan Deshengmen Wai, Beijing, 100083, China
Abstract: A method for classification of Xi-hu-long-jing tea in four grades was introduced based on machine vision of multi-spectral imaging technique. Firstly, three monochrome images at 540, 670 and 800 nm wavelengths were simultaneously obtained based on 3CCD multi-spectral camera, then image features including 18 shape features and 15 texture features were extracted based on image processing technology. These two groups of features were adopted for cluster analysis with principal component analysis of the four grades tea. However the result was not satisfactory. In order to obtain a more effective separation model, the two groups of features were combined, and the cluster analysis was conducted again based on the combined features. The result was better than the former. After optimization of these three groups of features, three classification models were developed by means of multiple stepwise discriminant analysis (MSDA). It was found that model based on the combined features had the best performance with accuracy of 85% for prediction of unknown samples. The most important two features for classification were correlation and energy of 800 nm wavelength monochrome image.
Number of references:8
Main heading:Principal component analysis
Controlled terms:Cluster analysis - Computer vision - Discriminant analysis - Imaging techniques - Partial discharges - Textures
Uncontrolled terms:Combined feature - Multi-spectral images - Shape feature - Tea grade - Texture feature
Classification code:922.2 Mathematical Statistics - 922 Statistical Methods - 903.1 Information Sources and Analysis - 746 Imaging Techniques - 741.2 Vision - 933 Solid State Physics - 741 Light, Optics and Optical Devices - 723.5 Computer Applications - 723.2 Data Processing and Image Processing - 723 Computer Software, Data Handling and Applications - 701.1 Electricity: Basic Concepts and Phenomena - 731.6 Robot Applications
Database:Compendex
Compilation and indexing terms, ? 2009 Elsevier Inc.
60. Accession number:20094612449988
Title:Development of a two-channel platform for acquiring and processing near-ground remote sensing images
Authors:Zhao, Ruijiao1 ; Li, Minzan1
Author affiliation:1 Key Laboratory of Modern Precision
Agriculture System Integration Research, Ministry of
Education, China Agricultural University, Beijing 100083, China
Corresponding author:Li, M. ([email protected])
Source title:Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery
Abbreviated source title:Nongye Jixie Xuebao
Volume:40
Issue:SUPPL. 1
Issue date:September 2009
Publication year:2009
Pages:210-213
Language:Chinese
ISSN:10001298
CODEN:NUYCA3
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Machinery, No. 1 Beishatan Deshengmen Wai, Beijing, 100083, China
Abstract: An acquiring platform of near-ground remote sensing images is developed to collect visible image and NIR image synchronously and then get the reflectance information from crop images. The platform contains: a 2-CCD multi-spectral camera, two collecting boxes, a field computer with two gigabit net interfaces and an image processing system. First, a true color image of plants is processed with 2G-R-B gray and median filtering algorithm, and the Otsu algorithm is used to separate plants from ground. Then the binary image is returned back to original R gray image and the average gray value of R image is acquired. Finally, using the linear model between reflectance and gray value the reflectance of crop in red waveband is calculated. Test results show that the acquiring platform works well and there exists remarkable correlation between results by above image processing method and that of ASD spectrometer. It provides the theoretical basis for crop status monitoring with digital image processing.
Number of references:11
Main heading:Reflection
Controlled terms:Cameras - Crops - Digital image storage - Image reconstruction - Imaging systems - Interfaces (computer) - Mergers and acquisitions - Processing - Remote sensing
Uncontrolled terms:Digital image processing - Field computer - Gray image - Gray value - Image processing - methods - Image processing system - Image segment - Linear model - Median filtering algorithm - Multi-spectral camera - Multi-spectral cameras - Near-ground remote sensing - NIR image - Otsu algorithm - Reflectance extraction - Remote sensing images - Test results - Theoretical basis - True colors - Two-channel - Visible image - Wavebands
Classification code:913.4 Manufacturing - 741.1 Light/Optics - 741.3 Optical Devices and Systems - 742.2 Photographic Equipment - 746 Imaging Techniques - 821.4 Agricultural Products - 912 Industrial Engineering and Management - 741 Light, Optics and Optical Devices - 723.2 Data Processing and Image Processing - 722.4 Digital Computers and Systems - 722.2 Computer Peripheral Equipment - 722.1 Data Storage, Equipment and Techniques - 711 Electromagnetic Waves - 731.1 Control Systems
Database:Compendex
Compilation and indexing terms, ? 2009 Elsevier Inc.
61. Accession number:20094612450000
Title:Fast incremental SVM method for classification of CCPs on HACCP implementation
Authors:Zhao, Chunjiang1, 2 ; Wang, Kaiyi1, 2 ; Yu, Gang2 ; Xu, Hongmin3
Author affiliation:1 College of Computer Science, Beijing
University of Technology, Beijing 100022, China
2 National Engineering Research Center for Information
Technology in Agriculture, Beijing 100097, China
3 School of Mathematics and Physics, Beijing Institute of
Petrochemical Technology, Beijing 102617, China
Corresponding author:Zhao, C. ([email protected])
Source title:Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery
Abbreviated source title:Nongye Jixie Xuebao
Volume:40
Issue:SUPPL. 1
Issue date:September 2009
Publication year:2009
Pages:260-262
Language:Chinese
ISSN:10001298
CODEN:NUYCA3
Document type:Journal article (JA)
Publisher:Chinese Society of Agricultural Machinery, No. 1 Beishatan Deshengmen Wai, Beijing, 100083, China
Abstract: SVM has already shown its successful application on the CCP discovery for HACCP implementation. However, the classic non-incremental SVM method is not an effective algorithm due to the thoroughly re-study for those samples are gradually added. We propose a new incremental algorithm. It makes use of the heuristic mode so that training can be firstly applied on the cases with greater possibilities to be SVs, and the training set can be reduced. The experiments show that the training speed is visibly improved without losing the precision of the classification.
Number of references:7
Main heading:Support vector machines
Uncontrolled terms:Effective algorithms - HACCP - Incremental - Incremental algorithm - SVM - Training sets - Training speed
Classification code:723 Computer Software, Data Handling and Applications
Database:Compendex
Compilation and indexing terms, ? 2009 Elsevier Inc.
? 2009 Elsevier Inc. All rights reserved.
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