Accurately Estimate Soybean Growth from Uav Imagery by Eliminating Spatial Heterogeneity and Climate Factors Across Multi-Environment

Author:

Che Yingpu,Gu Yongzhe,Bai Dong,Li Delin,Li Jindong,Zhao Chaosen,Wang Qiang,Qiu Hongmei,Huang Wen,Zhao Chunyan,Zhao Qingsong,Liu Like,Wang Xing,Xing Guangnan,Hu Guoyu,Shan ZHihui,Wang Ruizhen,Li Yinghui,Jin Xiuliang,Qiu Li-juan

Publisher

Elsevier BV

Reference40 articles.

1. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography;Bolles Fischler;Readings in Computer Vision,1987

2. Quantifying senescence in bread wheat using multispectral imaging from an unmanned aerial vehicle and QTL mapping;Hassan;Plant Physiology,2021

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