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, the...

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Detalhes bibliográficos

Principais autores:	Anuradha Yenkikar, Ved Prakash Mishra, Manish Bali, Tabassum Ara
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2025-12-01
coleção:	MethodsX
Assuntos:	Explainable AI Long short-term memory Random forest XGBoost SHapley Additive explanations Local interpretable model-agnostic explanations
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S2215016125002882
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