Machine Learning Approaches for Predicting Crop Yield in Semi-Arid Regions
Dr. Priya Sharma, Dr. Rajesh Kumar, Ms. Anita Verma
Vol. 1, Issue 2
MERIT-2026-0001
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Agricultural Engineering & AI
Research Article
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Abstract
This study explores advanced machine learning techniques including Random Forests and Deep Neural Networks for predicting crop yields in semi-arid agricultural regions of India. Using satellite imagery and historical weather data spanning 15 years, our models achieve a prediction accuracy of 94.3%, significantly outperforming traditional statistical methods.
Keywords
How to Cite this Article
Dr. Priya Sharma, Dr. Rajesh Kumar, Ms. Anita Verma. Machine Learning Approaches for Predicting Crop Yield in Semi-Arid Regions. Modern Explorations in Research, Innovation, and Transformation (MERIT), 1(2).
© 2026 The Author(s). Published by World Academic Press (WAP).
This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0).