Estimation of potato leaf area index based on spectral information and Haralick textures from UAV hyperspectral images

Estimation of potato leaf area index based on spectral information and Haralick textures from UAV hyperspectral images

The Leaf Area Index (LAI) is a crucial parameter for evaluating crop growth and informing fertilization management in agricultural fields. Compared to traditional methods, UAV-based hyperspectral imaging technology offers significant advantages for non-destructive, rapid monitoring of crop LAI by si...

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Bibliographic Details
Main Authors: Jiejie Fan, Yang Liu, Yiguang Fan, Yihan Yao, Riqiang Chen, Mingbo Bian, Yanpeng Ma, Huifang Wang, Haikuan Feng
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-11-01
Series:Frontiers in Plant Science
Subjects:
potato
Unmanned Aerial Vehicle
hyperspectral
Haralick textures
leaf area index
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2024.1492372/full
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https://www.frontiersin.org/articles/10.3389/fpls.2024.1492372/full

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