ass日本风韵熟妇pics男人扒开女人屁屁桶到爽|扒开胸露出奶头亲吻视频|邻居少妇的诱惑|人人妻在线播放|日日摸夜夜摸狠狠摸婷婷|制服 丝袜 人妻|激情熟妇中文字幕|看黄色欧美特一级|日本av人妻系列|高潮对白av,丰满岳妇乱熟妇之荡,日本丰满熟妇乱又伦,日韩欧美一区二区三区在线

基于Android系統(tǒng)的蔬菜智能耕作裝置設(shè)計(jì)與試驗(yàn)
CSTR:
作者:
作者單位:

作者簡(jiǎn)介:

通訊作者:

中圖分類號(hào):

基金項(xiàng)目:

國(guó)家自然科學(xué)基金項(xiàng)目(51505130),、國(guó)家重點(diǎn)研發(fā)計(jì)劃項(xiàng)目(2016YFD0700103)和河南省科技創(chuàng)新杰出人才項(xiàng)目(184200510017)


Design and Experiment of Intelligent Farming Device for Vegetables Based on Android
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 圖/表
  • |
  • 訪問(wèn)統(tǒng)計(jì)
  • |
  • 參考文獻(xiàn)
  • |
  • 相似文獻(xiàn)
  • |
  • 引證文獻(xiàn)
  • |
  • 資源附件
  • |
  • 文章評(píng)論
    摘要:

    為了提高蔬菜生產(chǎn)智能化水平,針對(duì)蔬菜生產(chǎn)集約化程度不高,、自動(dòng)化水平低及耕作耗時(shí)耗力等問(wèn)題,,集機(jī)械設(shè)計(jì)、壓力傳感,、無(wú)線傳輸,、互聯(lián)網(wǎng)通信及Android手機(jī)終端控制等技術(shù),設(shè)計(jì)了蔬菜智能耕作裝置,。該裝置包括耕作機(jī)械部件與以STM32單片機(jī)為核心的控制系統(tǒng),,并基于Android系統(tǒng)開(kāi)發(fā)了移動(dòng)客戶端軟件,可實(shí)現(xiàn)耕作信息遠(yuǎn)程查看及操控功能,。根據(jù)Android客戶端的耕作指令,,選擇不同功能的末端執(zhí)行器以完成相應(yīng)的動(dòng)作:通過(guò)電容式土壤水分檢測(cè)功能,實(shí)現(xiàn)土壤水分信息監(jiān)測(cè),;通過(guò)播種部件以及龍門架定位,,完成定位定量播種;通過(guò)液態(tài)物料投放部件以及設(shè)置在液路管道接口處的PVDF壓力傳感器,,實(shí)現(xiàn)液態(tài)物料投放堵塞及流量監(jiān)測(cè),,完成液態(tài)物料精量投放;通過(guò)CCD攝像頭獲取作物圖像信息,,并基于BP神經(jīng)網(wǎng)絡(luò)開(kāi)發(fā)了雜草識(shí)別算法,,實(shí)現(xiàn)雜草識(shí)別。試驗(yàn)結(jié)果表明:該智能耕作裝置可實(shí)現(xiàn)定位定量播種功能,,株距平均合格率可達(dá)95.13%,,平均誤播率為4.86%;液態(tài)物料投放功能較為穩(wěn)定,,且均勻性較好,,最大投放誤差不超過(guò)5.4g。

    Abstract:

    In order to promote the development of mechanization of vegetable production and increase the level of intelligent, an intelligent farming device for vegetables was designed based on mechanical design, pressure sensing, WiFi transmission, internet communications and Android mobile phone terminal control. The device included a farming mechanical component and a control system based on STM32 MCU, a mobile client software was developed based on Android, which can realize the remote viewing and manipulation functions. According to the farming instructions of the Android client, the end effector can select different functional heads to complete the corresponding farming action;through the capacitive soil moisture detection function head to monitor the soil moisture;positioning and quantitative sowing was performed through the sowing function head and gantry positioning;through the liquid material function head and PVDF pressure sensor installed at the liquid pipeline interface, to achieve liquid material delivery jam and flow monitoring, complete delivery of liquid material precision;the crop image information was acquired by CCD camera, and the weed identification algorithm was developed based on BP neural network to realize weed identification. The test results showed that the qualified rate of the plant spacing can reach 9513%, and the rate of misuse was 4.86%;the liquid material delivery function was relatively stable and uniform, and the maximum error was no more than 5.4g.

    參考文獻(xiàn)
    相似文獻(xiàn)
    引證文獻(xiàn)
引用本文

姬江濤,李明勇,金鑫,趙凱旋,吳靄玲,孫經(jīng)緯.基于Android系統(tǒng)的蔬菜智能耕作裝置設(shè)計(jì)與試驗(yàn)[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2018,49(8):33-41,,118. JI Jiangtao, LI Mingyong, JIN Xin, ZHAO Kaixuan, WU Ailing, SUN Jingwei. Design and Experiment of Intelligent Farming Device for Vegetables Based on Android[J]. Transactions of the Chinese Society for Agricultural Machinery,2018,49(8):33-41,,118.

復(fù)制
分享
文章指標(biāo)
  • 點(diǎn)擊次數(shù):
  • 下載次數(shù):
  • HTML閱讀次數(shù):
  • 引用次數(shù):
歷史
  • 收稿日期:2018-05-06
  • 最后修改日期:
  • 錄用日期:
  • 在線發(fā)布日期: 2018-08-10
  • 出版日期:
文章二維碼