Classification of <i>Verticillium dahliae</i> Vegetative Compatibility Groups (VCGs) with Machine Learning and Hyperspectral Imagery

Classification of <i>Verticillium dahliae</i> Vegetative Compatibility Groups (VCGs) with Machine Learning and Hyperspectral Imagery

Vegetative compatibility groups (VCGs) in fungi like <i>Verticillium dahliae</i> are important for understanding genetic diversity and for informed plant disease management. This study utilized hyperspectral imagery (HSI) and machine learning to differentiate the VCGs of <i>V. dahl...

Full description

Saved in:
Bibliographic Details
Main Authors: Sudha GC Upadhaya, Chongyuan Zhang, Sindhuja Sankaran, Timothy Paulitz, David Wheeler
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Applied Microbiology
Subjects:
verticillium wilt
<i>V. dahliae</i>
fungi
vegetative compatibility groups
fungal classification
hyperspectral imaging
Online Access:https://www.mdpi.com/2673-8007/5/2/41
Tags: Add Tag
No Tags, Be the first to tag this record!
Login for hold and recall information

Internet

https://www.mdpi.com/2673-8007/5/2/41

Similar Items