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基于透射光譜的玉米葉片含水率快速檢測(cè)儀研究
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國(guó)家重點(diǎn)研發(fā)計(jì)劃項(xiàng)目(2016YFD0300600-2016YFD0300606,、2016YFD0300600-2016YFD0300610),、國(guó)家自然科學(xué)基金項(xiàng)目(31501219)和重點(diǎn)實(shí)驗(yàn)室開(kāi)放課題項(xiàng)目(BKBD-2017KF03,、KF2018W003)


Rapid Detection of Moisture Content in Maize Leaves Based on Transmission Spectrum
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    摘要:

    為快速,、無(wú)損檢測(cè)玉米葉片含水率,,根據(jù)透射光譜原理設(shè)計(jì)一款便攜式植物葉片水分快速檢測(cè)儀,。檢測(cè)儀主要由數(shù)據(jù)采集節(jié)點(diǎn)和數(shù)據(jù)接收節(jié)點(diǎn)兩部分組成,,數(shù)據(jù)采集節(jié)點(diǎn)采用夾持葉室結(jié)構(gòu),,由信號(hào)采集,、處理和發(fā)送模塊組成,,數(shù)據(jù)接收節(jié)點(diǎn)由信號(hào)接收模塊和PDA組成。測(cè)量時(shí)玉米葉片被放入采集節(jié)點(diǎn)的夾持葉室,,兩路LED主動(dòng)光源(890nm和980nm)發(fā)光照射葉片,,采用PIN型Si光電傳感器在葉片的另一面進(jìn)行透射光探測(cè),透射光信號(hào)經(jīng)調(diào)理電路放大,、濾波后,,通過(guò)ZigBee網(wǎng)絡(luò)發(fā)送至數(shù)據(jù)接收節(jié)點(diǎn)。根據(jù)采集的光信號(hào)計(jì)算透射率(T890和T980),、比值植被指數(shù)(RVI)和調(diào)整型歸一化差異水分指數(shù)(MNDWI)等參數(shù),,分析了各植被指數(shù)與不同葉位含水率之間的相關(guān)性,結(jié)果顯示儀器應(yīng)用的最佳葉位為完全展開(kāi)葉片的倒二葉中部,,含水率檢測(cè)范圍為70%~80%,,且分辨率為0.3%。選取了T890,、T980和MNDWI建立了含水率檢測(cè)模型,,其R2C為0.854,R2V為0.849,,RMSE為0.0103,。

    Abstract:

    In order to detect the moisture content of maize leaves quickly and nondestructively, a portable plant leaf moisture detector was developed based on near infrared spectroscopy and wireless sensor network. The structure was designed according to the principle of transmission spectrum. The device could be divided into data acquisition node and data receiving node. And the ZigBee network was used to transfer the data between them. There were three modules in the data acquisition node, including a signal acquisition module, a signal processing module and a signal transmission module. The data acquisition node mainly completed the acquisition, amplification and filtering of the spectral data, and then sent it to the PDA through the master chip JN5168. The data receiving node was designed with a data receiving module and a PDA. The signal acquisition module was the key component with a light source and a sensor. The active LED lights in near-infrared band (890nm and 980nm) sent light, and the PIN type photodiode was used to measure the transmission signal. After the signal amplification and filtering, it was sent to the data receiving node by the ZigBee network. The parameters were calculated, including T890, T980, ratio vegetation index (RVI), modified normalized difference water vegetation index (MNDWI) and so on. The field test was conducted. The correlation between the parameters and water content was analyzed. The best application location of maize leaves was recommended. The results showed that the best detecting range was 70%~80% and the resolution was 0.3%. The detection model was established by T890, T980 and MNDWI, with R2C=0.854, R2V=0.849, and root mean square error of 0.0103. It could help to detect leaf moisture content nondestructively in the field.

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孫紅,陳香,孫梓淳,李民贊,張漫,吳靜珠.基于透射光譜的玉米葉片含水率快速檢測(cè)儀研究[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2018,49(3):173-178. SUN Hong, CHEN Xiang, SUN Zichun, LI Minzan, ZHANG Man, WU Jingzhu. Rapid Detection of Moisture Content in Maize Leaves Based on Transmission Spectrum[J]. Transactions of the Chinese Society for Agricultural Machinery,2018,49(3):173-178.

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  • 收稿日期:2017-11-10
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  • 在線發(fā)布日期: 2018-03-10
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