首页|期刊导航|植物表型组学(英文)|CLIP-TLNet:Canopy light interception prediction with Transformer-LSTM network through 3D complexity-temporal dynamics modeling
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
摘要
关键词
Canopy light interception prediction/Transformer-LSTM hybrid network/Regional canopy complexityKey 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)