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基于Android手機(jī)平臺的冬小麥葉面積指數(shù)快速測量系統(tǒng)
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國家重點研發(fā)計劃項目(2016YFD020070-2016YFD0200703)、青年教師科研項目(2015QC021)和基金科研業(yè)務(wù)費專項資金項目(2017XD002)


Measurement System of Winter Wheat LAI Based on Android Mobile Platform
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    摘要:

    葉面積指數(shù)(Leaf area index,LAI)是衡量作物生長狀況的重要參數(shù),也是科學(xué)確定無人機(jī)噴藥量的主要指標(biāo)。為了建立一套作物葉面積指數(shù)實時測量方法,基于Android手機(jī)平臺開發(fā)了一種冬小麥葉面積指數(shù)快速測量系統(tǒng)。在大田條件下選取長勢均勻的10個試驗區(qū)域,在不同生長期采用Android手機(jī)平臺和ADC多光譜相機(jī)分別獲取小麥冠層圖像,同時手工測量小麥實際葉面積,根據(jù)不同測量結(jié)果計算3種葉面積指數(shù): 將Android手機(jī)圖像由RGB空間轉(zhuǎn)換到HSV空間,在H-V雙通道組合圖像上進(jìn)行圖像分割后計算綠色葉片的面積IArea;由ADC多光譜相機(jī)自帶軟件獲取的歸一化植被指數(shù)(NDVI)和調(diào)節(jié)土壤植被指數(shù)(SAVI)數(shù)據(jù)反演的葉面積指數(shù)ALAI;實際手工測量的葉面積指數(shù)LAI。對以上3種葉面積指數(shù)的相關(guān)分析和建模分析結(jié)果表明,隨著小麥不同生長期的變化,Android手機(jī)平臺獲取IArea與實際測量葉面積指數(shù)LAI的R2大于0.84(P小于0.01),ADC獲取的葉面積指數(shù)ALAI與實際測量葉面積指數(shù)LAI的R2大于0.83。

    Abstract:

    Leaf area index (LAI) is an important parameter for evaluating crop growth. It is also the main index to determine the spraying dosage of UAV. In order to establish a real-time measurement method of crop leaf area index (LAI), a rapid measurement system of winter wheat leaf area index was developed based on Android mobile platform. Under the condition of field, 10 evenly growing experimental areas were selected, and the canopy images of wheat were obtained by using the Android mobile platform and the ADC multi-spectral camera at different growth stages. Meanwhile, the actual leaves’ areas of wheat were artificially measured. According to the different measurement results, three kinds of leaf area index were calculated: (1) Converting Android mobile phone images from RGB to HSV, then calculating the green leaf area (IArea) after image segmentation on H-V dual channel combination image. (2) The leaf area index ALAI retrieved by the normalized vegetation index (NDVI) and the adjusted soil vegetation index (SAVI) data obtained by the ADC multi-spectral camera software. (3)The leaf area index (LAI) of actual manual measurement. With the different growth stages of wheat, the correlation analysis and modeling analysis of the above three leaf area indices showed that the R2 between the IArea obtained by the Android mobile platform and the actual measured leaf area index LAI was R2>0.84(P<0.01). And the R2 between the leaf area index ALAI obtained by the ADC and the actual measured leaf area index LAI was more than 0.83.

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陳玉青,楊瑋,李民贊,孫紅.基于Android手機(jī)平臺的冬小麥葉面積指數(shù)快速測量系統(tǒng)[J].農(nóng)業(yè)機(jī)械學(xué)報,2017,48(s1):123-128. CHEN Yuqing, YANG Wei, LI Minzan, SUN Hong. Measurement System of Winter Wheat LAI Based on Android Mobile Platform[J]. Transactions of the Chinese Society for Agricultural Machinery,2017,48(s1):123-128.

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  • 收稿日期:2017-07-10
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  • 在線發(fā)布日期: 2017-12-10
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