Incorporating Meteorological Data and Pesticide Information to Forecast Crop Yields Using Machine Learning

The agricultural sector is more vulnerable to the adverse effects of climate change and excessive pesticide application, posing a significant risk to global food security. Accurately predicting crop yields is essential for mitigating these risks and providing information on sustainable agricultural...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Md Jiabul Hoque, Md. Saiful Islam, Jia Uddin, Md. Abdus Samad, Beatriz Sainz De Abajo, Debora Libertad Ramirez Vargas, Imran Ashraf
Format:	Article
Language:	English
Published:	IEEE 2024-01-01
Subjects:	Agriculture crop yield prediction machine learning deep learning
Online Access:	https://ieeexplore.ieee.org/document/10485420/