Aymen M. Al-Hejri

Machine Learning-Based Crop Yield Prediction Using FAO Global Agricultural Data: A Comparative Study of Linear Regression, Random Forest, and XGBoost

Accurate crop yield prediction is essential for food security planning, agricultural policy-making, and sustainable farming management. This study develops and compares three machine learning models Linear Regression, Random Forest, and XGBoost for predicting crop yield using the FAO (Food and Agriculture Organization)...