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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...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Jun Zhang, Jinpeng Cheng, Cuiping Liu, Qiang Wu, Shuping Xiong, Hao Yang, Shenglong Chang, Yuanyuan Fu, Mohan Yang, Shiyu Zhang, Guijun Yang, Xinming Ma
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2024-10-01
Schriftenreihe:Remote Sensing
Schlagworte:
leaf area index
hyperparameter optimization
Bayesian algorithm
random forests
Online-Zugang:https://www.mdpi.com/2072-4292/16/21/3917
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