Leaf area index estimation model for UAV image hyperspectral data based on wavelength variable selection and machine learning methods

Leaf area index estimation model for UAV image hyperspectral data based on wavelength variable selection and machine learning methods

Abstract Background To accurately estimate winter wheat leaf area index (LAI) using unmanned aerial vehicle (UAV) hyperspectral imagery is crucial for crop growth monitoring, fertilization management, and development of precision agriculture. Methods The UAV hyperspectral imaging data, Analytical Sp...

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Bibliographic Details
Main Authors: Juanjuan Zhang, Tao Cheng, Wei Guo, Xin Xu, Hongbo Qiao, Yimin Xie, Xinming Ma
Format: Article
Language:English
Published: BMC 2021-05-01
Series:Plant Methods
Subjects:
Winter wheat
Leaf area index
Unmanned aerial vehicle
Hyperspectral imaging data
Characteristic bands
Machine learning
Online Access:https://doi.org/10.1186/s13007-021-00750-5

Internet

https://doi.org/10.1186/s13007-021-00750-5

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