Precision Farming Methods Using Machine Learning

This paper proposes a hybrid machine learning approach for precision agriculture, combining Random Forest and XGBoost to improve crop recommendation accuracy. We also introduce a paired cropping optimization method that demonstrated a 22% yield increase during experimental validation.

Recommended citation: Pawar, T. (2024). "Precision Farming Methods Using Machine Learning." ICESTM.
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