Spectroscopic detection of cotton Verticillium wilt by spectral feature selection and machine learning methods

IntroductionVerticillium wilt is a severe soil-borne disease that affects cotton growth and yield. Traditional monitoring methods, which rely on manual investigation, are inefficient and impractical for large-scale applications. This study introduces a novel approach combining machine learning with...

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Bibliografische gegevens

Hoofdauteurs:	Weinan Li, Lisen Liu, Jianing Li, Weiguang Yang, Yang Guo, Longyu Huang, Zhaoen Yang, Jun Peng, Xiuliang Jin, Yubin Lan
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	Frontiers Media S.A. 2025-05-01
Reeks:	Frontiers in Plant Science
Onderwerpen:	Gossypium hirsutum Verticillium dahliae spectral feature feature selection disease detection
Online toegang:	https://www.frontiersin.org/articles/10.3389/fpls.2025.1519001/full
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