Enhanced Crop Leaf Area Index Estimation via Random Forest Regression: Bayesian Optimization and Feature Selection Approach

The Leaf Area Index (LAI) is a crucial structural parameter linked to the photosynthetic capacity and biomass of crops. While integrating machine learning algorithms with spectral variables has improved LAI estimation over large areas, excessive input parameters can lead to data redundancy and reduc...

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Библиографические подробности

Главные авторы:	Jun Zhang, Jinpeng Cheng, Cuiping Liu, Qiang Wu, Shuping Xiong, Hao Yang, Shenglong Chang, Yuanyuan Fu, Mohan Yang, Shiyu Zhang, Guijun Yang, Xinming Ma
Формат:	Artigo
Язык:	Inglês
Опубликовано:	MDPI AG 2024-10-01
Серии:	Remote Sensing
Предметы:	leaf area index hyperparameter optimization Bayesian algorithm random forests
Online-ссылка:	https://www.mdpi.com/2072-4292/16/21/3917
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