Optimizing chickpea yield prediction under wilt disease through synergistic integration of biophysical and image parameters using machine learning models

Optimizing chickpea yield prediction under wilt disease through synergistic integration of biophysical and image parameters using machine learning models

Abstract Crop health assessment and early yield predictions are highly crucial under biotic stress conditions for crop management and market planning by farmers and policy planners. The objective of this study was, therefore, to assess the impact of different levels of wilt disease on the biophysica...

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Bibliographic Details
Main Authors: RN Singh, P. Krishnan, C. Bharadwaj, Sonam Sah, B. Das
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:Scientific Reports
Subjects:
Image indices
Canopy temperature
LAI
Photosynthesis
Membrane stability
sRPI
Online Access:https://doi.org/10.1038/s41598-025-87134-0
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