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CLIP-TLNet:Canopy light interception prediction with Transformer-LSTM network through 3D complexity-temporal dynamics modeling

Meng Yang Yuying Gao Benye Xi Xin Wang Qingqing Huang Weiliang Meng

植物表型组学(英文)2026,Vol.8Issue(2):22-31,10.
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植物表型组学(英文)2026,Vol.8Issue(2):22-31,10.DOI:10.1016/j.plaphe.2026.100170

CLIP-TLNet:Canopy light interception prediction with Transformer-LSTM network through 3D complexity-temporal dynamics modeling

CLIP-TLNet:Canopy light interception prediction with Transformer-LSTM network through 3D complexity-temporal dynamics modeling

Meng Yang 1Yuying Gao 1Benye Xi 2Xin Wang 3Qingqing Huang 4Weiliang Meng5

作者信息

  • 1. School of Information Science and Technology,Beijing Forestry University,Beijing,100083,China
  • 2. College of Forestry,Beijing Forestry University,Beijing,100083,China
  • 3. School of Landscape Architecture,Beijing Forestry University,Beijing,100083,China
  • 4. School of Technology,Beijing Forestry University,Beijing,100083,China
  • 5. State Key Laboratory of Multimodal Artificial Intelligence Systems,Institute of Automation,Chinese Academy of Sciences,Beijing,100190,China||School of Artificial Intelligence,University of Chinese Academy of Sciences,Beijing,100049,China
  • 折叠

摘要

关键词

Canopy light interception prediction/Transformer-LSTM hybrid network/Regional canopy complexity

Key words

Canopy light interception prediction/Transformer-LSTM hybrid network/Regional canopy complexity/

引用本文复制引用

Meng Yang,Yuying Gao,Benye Xi,Xin Wang,Qingqing Huang,Weiliang Meng..CLIP-TLNet:Canopy light interception prediction with Transformer-LSTM network through 3D complexity-temporal dynamics modeling[J].植物表型组学(英文),2026,8(2):22-31,10.

基金项目

This research was supported by 5·5 Engineering Research & Innova-tion Team Project of Beijing Forestry University(No:BLRC2023C05),National Natural Science Foundation of China(Nos.32271983,62376271,U22B2034,62262043,62172416,62365014,and 62572059),Beijing Natural Science Foundation(No.L241056,JQ23014),the Fundamental Research Funds for the Central Universities(2021ZY35),Shenzhen S&T programme(No.CJGJZD20240729141906008),and Jiangxi Provincial Natural Science Foundation No.20253BAC280104. (No:BLRC2023C05)

植物表型组学(英文)

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