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Dynamic maize true leaf area index retrieval with KGCNN and TL and integrated 3D radiative transfer modeling for crop phenotyping

Dan Zhao Guijun Yang Tongyu Xu Fenghua Yu Chengjian Zhang Zhida Cheng Lipeng Ren Hao Yang

植物表型组学（英文）2025，Vol.7Issue(1)：35-48,14.

植物表型组学（英文）2025，Vol.7Issue(1)：35-48,14.DOI:10.1016/j.plaphe.2025.100004

Dynamic maize true leaf area index retrieval with KGCNN and TL and integrated 3D radiative transfer modeling for crop phenotyping

Dan Zhao ¹Guijun Yang ²Tongyu Xu ³Fenghua Yu ³Chengjian Zhang ²Zhida Cheng ²Lipeng Ren ²Hao Yang²

作者信息

1. Key Laboratory of Quantitative Remote Sensing in Agriculture of Ministry of Agriculture and Rural Affairs,Information Technology Research Center,Beijing Academy of Agriculture and Forestry Sciences,Beijing,100097,China||School of Information and Electrical Engineering,Shenyang Agricultural University,Shenyang,110866,China
2. Key Laboratory of Quantitative Remote Sensing in Agriculture of Ministry of Agriculture and Rural Affairs,Information Technology Research Center,Beijing Academy of Agriculture and Forestry Sciences,Beijing,100097,China
3. School of Information and Electrical Engineering,Shenyang Agricultural University,Shenyang,110866,China
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摘要

关键词

True LAI/3D radiative transfer model/Knowledge-guided convolutional neural network/Transfer learning technique/Drone-based multispectral

Key words

True LAI/3D radiative transfer model/Knowledge-guided convolutional neural network/Transfer learning technique/Drone-based multispectral

引用本文复制引用

Dan Zhao,Guijun Yang,Tongyu Xu,Fenghua Yu,Chengjian Zhang,Zhida Cheng,Lipeng Ren,Hao Yang..Dynamic maize true leaf area index retrieval with KGCNN and TL and integrated 3D radiative transfer modeling for crop phenotyping[J].植物表型组学（英文）,2025,7(1):35-48,14.

基金项目

This research is financially supported by the National Key Research and Development Program of China(2021YFD2000102),the Natural Science Foundation of China(42371373),and the Special Fund for Construction of Scientific and Technological Innovation Ability of Beijing Academy of Agriculture and Forestry Sciences(KJCX20230434).We also thank editors and two anonymous reviewers for their constructive feedback on the manuscript. （2021YFD2000102）

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