冬油菜田雜草探測(cè)光譜傳感器設(shè)計(jì)與應(yīng)用
發(fā)布時(shí)間:2018-06-11 13:03
本文選題:傳感器 + 設(shè)計(jì); 參考:《農(nóng)業(yè)工程學(xué)報(bào)》2017年18期
【摘要】:雜草的精確識(shí)別是對(duì)靶施藥和自動(dòng)化機(jī)械除草的關(guān)鍵前提,基于光譜分析技術(shù)的光譜傳感器可以實(shí)現(xiàn)快速、無(wú)損的雜草識(shí)別。該文以冬油菜苗期雜草為研究對(duì)象,根據(jù)試驗(yàn)選取的4個(gè)特征波長(zhǎng)點(diǎn)(595、710、755和950 nm),設(shè)計(jì)了一種能自動(dòng)識(shí)別雜草的光譜傳感器。根據(jù)光學(xué)系統(tǒng)原理和田間實(shí)際操作要求,提出了該光譜傳感器的結(jié)構(gòu)設(shè)計(jì)方案,選擇了合適的光學(xué)器件,并開(kāi)發(fā)了光譜傳感器信號(hào)調(diào)理電路。對(duì)光譜傳感器進(jìn)行了標(biāo)定和試驗(yàn)驗(yàn)證,根據(jù)便攜式光譜儀和光譜傳感器在4個(gè)波長(zhǎng)下的測(cè)量結(jié)果建立了相應(yīng)的標(biāo)定方程,方程的決定系數(shù)分別為0.799、0.812、0.892和0.867,驗(yàn)證試驗(yàn)結(jié)果的相對(duì)誤差絕大多數(shù)都在10%以內(nèi),可以識(shí)別冬油菜苗期田間雜草。該傳感器為雜草自動(dòng)探測(cè)裝置的開(kāi)發(fā)提供了參考。
[Abstract]:The accurate identification of weeds is the key premise of target application and automatic mechanical weeding. The spectral sensor based on spectral analysis technology can realize fast and lossless weed identification. Based on the four characteristic wavelengths selected in the experiment, a spectral sensor was designed to identify weeds in winter rape seedling stage according to the four characteristic wavelength points (595710755 and 950 nm). According to the principle of the optical system and the practical operation requirements in the field, the structural design of the spectral sensor is proposed, the appropriate optical device is selected, and the signal conditioning circuit of the spectrum sensor is developed. The calibration and experimental verification of the spectrum sensor are carried out, and the calibration equations are established according to the measurement results of the portable spectrometer and the spectrum sensor at four wavelengths. The determination coefficients of the equation were 0.799 ~ 0.812 ~ 0.892 and 0.867, respectively. The relative error of the test results was mostly less than 10%, which could be used to identify the weeds in winter rape seedling stage. The sensor provides a reference for the development of automatic weed detection device.
【作者單位】: 江蘇大學(xué)現(xiàn)代農(nóng)業(yè)裝備與技術(shù)教育部重點(diǎn)實(shí)驗(yàn)室;
【基金】:國(guó)家自然科學(xué)基金項(xiàng)目(51575244) 江蘇省高校自然科學(xué)研究項(xiàng)目(14KJA210001) 公益性行業(yè)(農(nóng)業(yè))科研專項(xiàng)經(jīng)費(fèi)項(xiàng)目(201503130) 江蘇高校優(yōu)勢(shì)學(xué)科建設(shè)工程資助項(xiàng)目(2014-37) 江蘇大學(xué)高級(jí)人才基金資助項(xiàng)目(14JDG149)
【分類號(hào)】:S451;S565.4;TP212
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本文編號(hào):2005343
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