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基于衍射重構(gòu)技術(shù)的作物真菌病害孢子微型檢測(cè)裝置
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國(guó)家自然科學(xué)基金項(xiàng)目(31701324、61673195)、江蘇省農(nóng)業(yè)科技自主創(chuàng)新資金項(xiàng)目(CX(18)3043)、中國(guó)博士后科學(xué)基金項(xiàng)目(2018M642182)、江蘇省高校優(yōu)勢(shì)學(xué)科建設(shè)工程項(xiàng)目(PAPD)和江蘇省優(yōu)秀青年科學(xué)基金項(xiàng)目(BK20180099)


Micro Detection Device for Fungal Spores of Crops Based on Diffraction Reconstruction
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    摘要:

    為了解決現(xiàn)有孢子檢測(cè)系統(tǒng)體積大、成本高等問題,提出了一種基于衍射重構(gòu)技術(shù)的作物真菌病害孢子檢測(cè)方法。根據(jù)惠更斯-菲涅爾原理、角譜理論,利用衍射成像復(fù)合重構(gòu)計(jì)算設(shè)計(jì)了一種包含富集、進(jìn)樣機(jī)構(gòu)的真菌病害孢子檢測(cè)系統(tǒng)。該系統(tǒng)可以定時(shí)完成富集、進(jìn)樣、拍攝、重構(gòu)和檢測(cè)等操作,并通過重構(gòu)算法實(shí)現(xiàn)對(duì)真菌病害孢子原像的重建,根據(jù)重構(gòu)后的圖像提取面積(Area)、細(xì)度(Thinness ratio)兩個(gè)重要形態(tài)學(xué)特征,對(duì)稻瘟病孢子進(jìn)行檢測(cè)識(shí)別。實(shí)驗(yàn)結(jié)果表明,所設(shè)計(jì)裝置對(duì)稻瘟病孢子的檢測(cè)結(jié)果與人工顯微鏡識(shí)別結(jié)果高度線性相關(guān),決定系數(shù)為0.99,平均檢測(cè)誤差為5.91%,具有較好的準(zhǔn)確性。

    Abstract:

    Collecting airborne spores of rice blast in rice fields using spore trap devices has currently become an important approach for devising strategies early and effectively controlling rice blast. In order to solve the problems of large volume and high cost of existing spore detection system, a spore detection method for crop fungal diseases was proposed based on diffraction reconstruction technology. Based on Huygens-Fresnel principle and angular spectrum theory, a spore detection system for fungal diseases, including enrichment and sampling mechanism, was designed by using diffraction imaging complex reconstruction calculation. The system can complete a series of operations such as enrichment, sampling, shooting, reconstructing and detection, and reconstruct the original spore image of fungal diseases by reconstruction algorithm. According to the morphological characteristics of reconstructed images, two important parameters, area and thinness ratio, were extracted to detect and identify spores. Rice blast spores were selected as the research object to carry out detection and verification experiments. The experimental results showed that the system could capture the micro-images of diffractions of rice blast spores, with 2592 pixels×1944 pixels resolution. The experiments validated that the correlation coefficient between the detection results of rice blast spores and the identification results of artificial microscope can reach 0.99, while the average detection error rate was 5.91%, which had good accuracy. The research provided a design scheme for the research and development of low-cost early warning equipment for crop fungal diseases. 

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楊寧,陳馳原,李國(guó)曉,王愛英,張榮標(biāo),唐健.基于衍射重構(gòu)技術(shù)的作物真菌病害孢子微型檢測(cè)裝置[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2019,50(4):42-48. YANG Ning, CHEN Chiyuan, LI Guoxiao, WANG Aiying, ZHANG Rongbiao, TANG Jian. Micro Detection Device for Fungal Spores of Crops Based on Diffraction Reconstruction[J]. Transactions of the Chinese Society for Agricultural Machinery,2019,50(4):42-48.

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  • 收稿日期:2018-10-17
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  • 在線發(fā)布日期: 2019-04-10
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