Phenology-Adaptive Prediction of Walnut Leaf Area Index from UAV Multispectral Data via Hybrid Feature Selection and SHAP-Enhanced Machine Learning

Accurate monitoring of the leaf area index (LAI) throughout the entire growth cycle of walnut trees using UAV multispectral imagery is essential for digital orchard management. In this study, focusing on the ‘Wen 185’ walnut variety in Xinjiang, we simultaneously acquired UAV multispectral images an...

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Hlavní autoři:	Qiuhao Xia, Yerhazi Yerzati, Zihao Li, Jiahui Qi, Jiaxing Chen, Yu Sen, Rui Zhang, Yunqi Zhang, Hongxia Wang, Zhongzhong Guo
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2026-06-01
Edice:	Remote Sensing
Témata:	walnut leaf area index unmanned aerial vehicle multispectral red border index machine learning
On-line přístup:	https://www.mdpi.com/2072-4292/18/12/1941
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