基于Android手机平台的冬小麦叶面积指数快速测量系统
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国家重点研发计划项目(2016YFD020070-2016YFD0200703)、青年教师科研项目(2015QC021)和基金科研业务费专项资金项目(2017XD002)


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

    叶面积指数(Leaf area index,LAI)是衡量作物生长状况的重要参数,也是科学确定无人机喷药量的主要指标。为了建立一套作物叶面积指数实时测量方法,基于Android手机平台开发了一种冬小麦叶面积指数快速测量系统。在大田条件下选取长势均匀的10个试验区域,在不同生长期采用Android手机平台和ADC多光谱相机分别获取小麦冠层图像,同时手工测量小麦实际叶面积,根据不同测量结果计算3种叶面积指数: 将Android手机图像由RGB空间转换到HSV空间,在H-V双通道组合图像上进行图像分割后计算绿色叶片的面积IArea;由ADC多光谱相机自带软件获取的归一化植被指数(NDVI)和调节土壤植被指数(SAVI)数据反演的叶面积指数ALAI;实际手工测量的叶面积指数LAI。对以上3种叶面积指数的相关分析和建模分析结果表明,随着小麦不同生长期的变化,Android手机平台获取IArea与实际测量叶面积指数LAI的R2大于0.84(P小于0.01),ADC获取的叶面积指数ALAI与实际测量叶面积指数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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陈玉青,杨玮,李民赞,孙红.基于Android手机平台的冬小麦叶面积指数快速测量系统[J].农业机械学报,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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  • 在线发布日期: 2017-12-10
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