Hyperspectral estimation of chlorophyll content in grapevine based on feature selection and GA-BP

Hyperspectral estimation of chlorophyll content in grapevine based on feature selection and GA-BP

Abstract Leaf chlorophyll content (LCC) is a key indicator for assessing the growth of grapes. Hyperspectral techniques have been applied to LCC research. However, quantitative prediction of grape LCC using this technique remains challenging due to baseline drift, spectral peak overlap, and ambiguit...

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Bibliographic Details
Main Authors: YaFeng Li, XinGang Xu, WenBiao Wu, Yaohui Zhu, LuTao Gao, XiangTai Jiang, Yang Meng, GuiJun Yang, HanYu Xue
Format: Article
Language:English
Published: Nature Portfolio 2025-03-01
Series:Scientific Reports
Subjects:
Data preprocessing
Feature selection
Machine learning
Hyperspectral monitoring.
Online Access:https://doi.org/10.1038/s41598-024-84977-x
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https://doi.org/10.1038/s41598-024-84977-x

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