A comparative study of machine learning models for predicting Aman rice yields in Bangladesh

A comparative study of machine learning models for predicting Aman rice yields in Bangladesh

Aman rice, a major staple crop in Bangladesh, is cultivated during the monsoon season and is highly dependent on climatic conditions such as rainfall and temperature. This study aims to identify the most effective machine learning models for predicting Aman rice yields by leveraging 52 years of hist...

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Bibliographic Details
Main Authors: Taufiqul Islam, Tanmoy Mazumder, Md. Nishad Shahriair Roni, Md. Sadmin Nur
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Heliyon
Subjects:
Agricultural forecasting
Climate change
Random forest model
Food security
Data-driven insights
Sustainable development goals (SDGs)
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844024167953

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http://www.sciencedirect.com/science/article/pii/S2405844024167953

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