Advanced prediction of rice yield gaps under climate uncertainty using machine learning techniques in Eastern India

The current study focuses on applying machine learning approaches to forecast future Kharif rice yield gaps in eastern India while accounting for climate change implications. To achieve the United Nations Sustainable Development Goals (SDGs), food security must be prioritized. Rice yield has been pr...

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Bibliographic Details
Main Authors: Satiprasad Sahoo, Chiranjit Singha, Ajit Govind
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Journal of Agriculture and Food Research
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2666154324004617
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