Nondestructive estimation of leaf chlorophyll content in banana based on unmanned aerial vehicle hyperspectral images using image feature combination methods

Nondestructive estimation of leaf chlorophyll content in banana based on unmanned aerial vehicle hyperspectral images using image feature combination methods

IntroductionNondestructive quantification of leaf chlorophyll content (LCC) of banana and its spatial distribution across growth stages from remotely sensed data provide an effective avenue to diagnose nutritional deficiency and guide management practices. Unmanned aerial vehicle (UAV) hyperspectral...

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Bibliographic Details
Main Authors: Weiping Kong, Lingling Ma, Huichun Ye, Jingjing Wang, Chaojia Nie, Binbin Chen, Xianfeng Zhou, Wenjiang Huang, Zikun Fan
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-02-01
Series:Frontiers in Plant Science
Subjects:
leaf chlorophyll content
banana
image feature combinations
machine learning
unmanned aerial vehicle hyperspectral imagery
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2025.1536177/full
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https://www.frontiersin.org/articles/10.3389/fpls.2025.1536177/full

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