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Innovative 3D photosynthetic trait assessment of slash pine using drone-LiDAR fusion and machine learning algorithms

Ruiye Yan Yeqing Peng Yanjie Li

植物表型组学（英文）2026，Vol.8Issue(1)：244-259,16.

植物表型组学（英文）2026，Vol.8Issue(1)：244-259,16.DOI:10.1016/j.plaphe.2026.100175

Innovative 3D photosynthetic trait assessment of slash pine using drone-LiDAR fusion and machine learning algorithms

Ruiye Yan ¹Yeqing Peng ²Yanjie Li³

作者信息

1. Research Institute of Subtropical Forestry,Chinese Academy of Forestry,Hangzhou,311400,Zhejiang,China||College of Landscape Architecture and Tourism,Hebei Agriculture University,Baoding,071000,China
2. Matou State-Owned Forest Farm,Jing County,Xuancheng,Anhui,242000,China
3. Research Institute of Subtropical Forestry,Chinese Academy of Forestry,Hangzhou,311400,Zhejiang,China
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摘要

关键词

UAV-LiDAR fusion/Voxel-level fPAR mapping/Slash pine/Machine-learning/Precision forestry

Key words

UAV-LiDAR fusion/Voxel-level fPAR mapping/Slash pine/Machine-learning/Precision forestry

引用本文复制引用

Ruiye Yan,Yeqing Peng,Yanjie Li..Innovative 3D photosynthetic trait assessment of slash pine using drone-LiDAR fusion and machine learning algorithms[J].植物表型组学（英文）,2026,8(1):244-259,16.

基金项目

This work was funded by the Fundamental Research Funds of CAF,No.CAFYBB2022QA001and the Science and Technology innovation 2030-Agricultural biological breeding major project(2023ZD040580105). （2023ZD040580105）

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