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Guangnan Xing

affiliation not provided to SSRN

  • affiliation not provided to SSRN

SCHOLARLY PAPERS

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Scholarly Papers (1)

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

Number of pages: 30 Posted: 10 Nov 2023
Yingpu Che, Yongzhe Gu, Dong Bai, Delin Li, Jindong Li, Chaosen Zhao, Qiang Wang, Hongmei Qiu, Wen Huang, Chunyan Zhao, Qingsong Zhao, Like Liu, Xing Wang, Guangnan Xing, Guoyu Hu, ZHihui Shan, Ruizhen Wang, Yinghui Li, Xiuliang Jin and Li-juan Qiu
China Agricultural University, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Heilongjiang Academy of Agricultural Sciences, Jilin Academy of Agricultural Sciences, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Liaocheng University, affiliation not provided to SSRN, affiliation not provided to SSRN, Anhui Academy of Agricultural Sciences, affiliation not provided to SSRN, affiliation not provided to SSRN, Chinese Academy of Agricultural Sciences (CAAS), Chinese Academy of Agricultural Sciences (CAAS) - Institute of Bast Fiber Crops and Chinese Academy of Agricultural Sciences (CAAS)
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Soybean growth, Multi-environment trials, Photothermal accumulation area, Spatial heterogeneity, Unmanned aircraft vehicle