An explainable AI-based hybrid machine learning model for interpretability and enhanced crop yield prediction

Agriculture is a major contributor to India's GDP and employs a large population. Key crops like rice are essential for food security, making higher yields crucial for sustainability. The use of machine learning (ML) in crop yield prediction has significantly improved forecast accuracy. However...

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Bibliographic Details
Main Authors:	Anuradha Yenkikar, Ved Prakash Mishra, Manish Bali, Tabassum Ara
Format:	Article
Language:	English
Published:	Elsevier 2025-12-01
Series:	MethodsX
Subjects:	Explainable AI Long short-term memory Random forest XGBoost SHapley Additive explanations Local interpretable model-agnostic explanations
Online Access:	http://www.sciencedirect.com/science/article/pii/S2215016125002882
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An explainable AI-based hybrid machine learning model for interpretability and enhanced crop yield prediction

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