This project develops a crop yield prediction model using multilinear regression to empower farmers with data-driven insights. Leveraging Python, Scikit-learn, Pandas, NumPy, Matplotlib, and Streamlit ...

Conclusion: Linear Regression provided a moderate prediction accuracy. It captures the general trend in the data but might not be complex enough to model all the underlying patterns in crop yield ...

Agricultural crop production prediction in the early stages is vital for timely decision-making and resource allocation. Timely insights on possible crop yields help farmers to plan wisely and ...