UAV-Based Estimation of Tea Leaf Area Index in Mountainous Terrain: Integrating Topographic Correction and Interpretable Machine Learning.

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Bibliographic Details
Title: UAV-Based Estimation of Tea Leaf Area Index in Mountainous Terrain: Integrating Topographic Correction and Interpretable Machine Learning.
Authors: Lin N; Institute of Digital Agriculture, Fujian Academy of Agricultural Sciences, Fuzhou 350003, China., Zhao J; Institute of Digital Agriculture, Fujian Academy of Agricultural Sciences, Fuzhou 350003, China., Shao H; Institute of Digital Agriculture, Fujian Academy of Agricultural Sciences, Fuzhou 350003, China., Wang M; Institute of Digital Agriculture, Fujian Academy of Agricultural Sciences, Fuzhou 350003, China., Chen H; Institute of Digital Agriculture, Fujian Academy of Agricultural Sciences, Fuzhou 350003, China.
Source: Sensors (Basel, Switzerland) [Sensors (Basel)] 2026 Apr 03; Vol. 26 (7). Date of Electronic Publication: 2026 Apr 03.
Publication Type: Journal Article
Journal Info: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101204366 Publication Model: Electronic Cited Medium: Internet ISSN: 1424-8220 (Electronic) Linking ISSN: 14248220 NLM ISO Abbreviation: Sensors (Basel) Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1424-8220
DOI:10.3390/s26072218