Predicting yellow mosaic disease severity in yardlong bean using visible imaging coupled with machine learning model

Predicting yellow mosaic disease severity in yardlong bean using visible imaging coupled with machine learning model

Abstract Accurate estimation of plant disease severity is pivotal for effective management and decision-making. Field experiments were conducted to understand the correlation and predict the yellow mosaic disease severity in yard-long beans using visible image indices. A total of 45 visible / Red Gr...

Full description

Saved in:
Bibliographic Details
Main Authors: Abhishek Kumar Dubey, Prakash Kumar Jha, Kumari Shubha, RN Singh, Manisha Tamta, Sonam Sah, Santosh Kumar, Sanjeev Kumar, Rakesh Kumar, Kirti Saurabh, Rajeev Kumar, Anup Das, P. V. V. Prasad, Arbind Kumar Choudhary
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Cowpea
Cubist
XGB
sRPI
RGB indices
Correlation
Online Access:https://doi.org/10.1038/s41598-025-09176-8
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1038/s41598-025-09176-8

Similar Items