Crop AI Recommender
Input your farm's soil NPK levels, pH score, temperature, and local rainfall to receive instant AI crop suitability recommendations trained on Indian agricultural data.
Real Crop Recommendation ML Model
Hosted live on Streamlit Cloud • 22 Agricultural Crop Predictor
How Our Crop AI Model Works
Soil N-P-K & pH Feature Set
Evaluates Nitrogen (N), Phosphorus (P), and Potassium (K) concentration in ppm alongside soil pH levels (3.5 to 9.5) to determine soil fertility and chemical compatibility.
Climate & Rain Telemetry
Processes ambient temperature (°C), relative air humidity (%), and expected annual precipitation (mm) to match the biological growth conditions of Indian crops.
22 Crop Classification
Classifies suitability among 22 major Indian crops including Paddy (Rice), Wheat, Maize, Cotton, Jute, Sugarcane, Chickpea, Kidney Beans, Mango, Banana, and Watermelon.
Access Real Deployed Streamlit App
Run live predictions using your actual soil test values on our official Streamlit app hosted at smart-crop-recommendations.streamlit.app.