植物表型组学（英文）2025，Vol.7Issue(4)：118-134,17.DOI:10.1016/j.plaphe.2025.100125
DeepSpecN:A new hybrid method combining PROSPECT-PRO and Conv-Transformer to estimate leaf nitrogen content from leaf reflectance
DeepSpecN:A new hybrid method combining PROSPECT-PRO and Conv-Transformer to estimate leaf nitrogen content from leaf reflectance
Shuai Yang 1Anirudh Belwalkar 2Dong Li 2Yufeng Ge 3Tao Cheng 4Fei Wu 2Longkang Peng 5Daoliang Li 6Kang Yu2
作者信息
- 1. Precision Agriculture Lab,School of Life Sciences,Technical University of Munich,Freising,85354,Germany||National Innovation Center for Digital Fishery,China Agricultural University,China||Key Laboratory of Smart Farming Technologies for Aquatic Animal and Livestock,Ministry of Agriculture and Rural Affairs,China Agricultural University,Beijing,100083,China||Beijing Engineering and Technology Research Center for Internet of Things in Agriculture,Beijing,100083,China||College of Information and Electrical Engineering,China Agricultural University,Beijing,100083,China
- 2. Precision Agriculture Lab,School of Life Sciences,Technical University of Munich,Freising,85354,Germany
- 3. Department of Biological Systems Engineering,University of Nebraska-Lincoln,Lincoln,NE,68583,United States||Center for Plant Science Innovation,University of Nebraska-Lincoln,Lincoln,NE,68588,United States
- 4. National Engineering and Technology Center for Information Agriculture(NETCIA),Nanjing Agricultural University,Nanjing,China
- 5. Department of Land Surveying and Geo-Informatics,The Hong Kong Polytechnic University,Hong Kong,China
- 6. National Innovation Center for Digital Fishery,China Agricultural University,China||Key Laboratory of Smart Farming Technologies for Aquatic Animal and Livestock,Ministry of Agriculture and Rural Affairs,China Agricultural University,Beijing,100083,China||Beijing Engineering and Technology Research Center for Internet of Things in Agriculture,Beijing,100083,China||College of Information and Electrical Engineering,China Agricultural University,Beijing,100083,China
- 折叠
摘要
关键词
Leaf nitrogen estimation/Domain shift in machine learning/Radiative transfer model/Transformer architecture/Hybrid physical-AI modelling/Hyperspectral reflectanceKey words
Leaf nitrogen estimation/Domain shift in machine learning/Radiative transfer model/Transformer architecture/Hybrid physical-AI modelling/Hyperspectral reflectance引用本文复制引用
Shuai Yang,Anirudh Belwalkar,Dong Li,Yufeng Ge,Tao Cheng,Fei Wu,Longkang Peng,Daoliang Li,Kang Yu..DeepSpecN:A new hybrid method combining PROSPECT-PRO and Conv-Transformer to estimate leaf nitrogen content from leaf reflectance[J].植物表型组学（英文）,2025,7(4):118-134,17.基金项目
This work was supported by the'AmAIzed'project funded by the AgroMissionHub,the National Natural Science Foundation of China(grant numbers 32373186),and the CAU-TUM joint PhD training pro-gram(2023-2025)funded by China Scholarship Council. （grant numbers 32373186）
