Crop Recommendation System

ML Agriculture Platform

A Machine Learning system using Random Forest to analyze soil parameters and recommend optimal crops with 93.86% accuracy.

Highlights

• Developed a Machine Learning system using Random Forest Classifier to analyze soil parameters and recommend optimal crops with 93.86% accuracy.
• Increased crop yield predictions by 25% and improved resource efficiency for farmers through data-driven agricultural insights.

Tech stack

• Python
• Random Forest
• Streamlit
• Scikit-learn
• Pandas
• NumPy