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基于无人机遥感的大豆株高计算方法研究

Study on Calculation Method of Soybean Plant Height Based on UAV Remote Sensing
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摘要 针对目前田间大豆株高测量采用作物标尺准确度不够或人工测量费时费力的问题,基于50个试验小区、10个标准株高不同的大豆品种,以无人机(UAV)低空遥感平台获取大豆田间影像及数字表面模型,同时测定地面大豆实际冠层高度;利用克里金插值算法获取地面高程值(DEM),通过计算提取大豆株高信息,并验证此方法的精度和提取误差。研究表明:利用无人机遥感正射影像、数字表面模型和克里金插值算法生成的DEM模型符合试验田的地势情况,提取的大豆株高范围为0~1.13627m,所建立的株高提取模型R2=0.8163,计算得到的大豆实际株高与提取株高平均误差为3.79%。此方法可较为精确地计算大豆的植株高度,能够为大豆田间管理和高产株型选育过程中株高性状数据获取提供参考。 Aiming at the problem that the accuracy of crop scale is not enough or manual measurement is time-consuming and laborious,based on 50 experimental plots and 10 soybean varieties with different standard plant height,the field image and digital surface model of soybean are obtained by UAV low altitude remote sensing platform,and the actual canopy height of ground soybean is measured at the same time;The Kriging interpolation algorithm is used to obtain the ground elevation value(DEM),and the soybean plant height information is extracted through calculation,and the accuracy and extraction error of this method are verified.The research shows that the DEM model generated by UAV remote sensing Orthophoto Image,digital surface model and Kriging interpolation algorithm is consistent with the terrain of the experimental field.The extracted soybean plant height range is 0-1.13627 meters,and the established plant height extraction model R2 is 0.8163.The average error between the calculated soybean real plant height and the extracted plant height is 3.79%.This method can accurately calculate the plant height of soybean,and can provide a reference for obtaining the data of plant height traits in the process of soybean field management and high-yield plant type breeding.
作者 石文强 张伟 亓立强 吴宇通 张平 Shi Wenqiang;Zhang Wei;Qi Liqiang;Wu Yutong;Zhang Ping(College of Engineering,Heilongjiang Bayi Agricultural University,Daqing 163319,China;College of Science,Heilongjiang Bayi Agricultural University,Daqing 163319,China)
出处 《农机化研究》 北大核心 2024年第2期145-150,共6页 Journal of Agricultural Mechanization Research
基金 国家现代农业产业技术体系专项(CARS-04-PS30) 黑龙江八一农垦大学研究生教学研究项目(YJG201908) 黑龙江省大庆市指导性科技项目(zd-2020-64) 国家大学生创新创业项目(202110223130)。
关键词 大豆 株高 无人机 遥感 soybeans plant height UAV remote sensing
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