Crop Yield Prediction using Machine Learning

Predicted crop yield using machine learning by analyzing soil, irrigation, and weather data

:Steps

Cleaned and preprocessed dataset

Selected important features

Built models using Linear Regression and Random Forest

Evaluated models with RMSE and R² metrics

Application: Provides actionable insights to optimize crop yield and resource management for farmers