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: Sahoo, Satiprasad, Singha, Chiranjit, Govind, Ajit
Format: Journal Article
Language:Inglés
Published: Elsevier 2024
Subjects:
Online Access:https://hdl.handle.net/10568/173358

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