Estimation of the Bio-Parameters of Winter Wheat by Combining Feature Selection with Machine Learning Using Multi-Temporal Unmanned Aerial Vehicle Multispectral Images

Estimation of the Bio-Parameters of Winter Wheat by Combining Feature Selection with Machine Learning Using Multi-Temporal Unmanned Aerial Vehicle Multispectral Images

Accurate and timely monitoring of biochemical and biophysical traits associated with crop growth is essential for indicating crop growth status and yield prediction for precise field management. This study evaluated the application of three combinations of feature selection and machine learning regr...

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Bibliographic Details
Main Authors: Changsai Zhang, Yuan Yi, Lijuan Wang, Xuewei Zhang, Shuo Chen, Zaixing Su, Shuxia Zhang, Yong Xue
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Remote Sensing
Subjects:
unmanned aerial vehicle (UAV)
multispectral
leaf area index
canopy chlorophyll
machine learning
Online Access:https://www.mdpi.com/2072-4292/16/3/469

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