AI Crop Predictor 🤖

Enter your land details — soil type, pH, rainfall, temperature — and our trained ML model will recommend the best crops for your field with confidence scores.

🌱 Enter Your Land Details

Based on 22 soil & climate parameters used in ICAR research

4.0 9.0 6.5
Neutral = 7.0 | Acidic < 7.0 | Alkaline > 7.0
Annual average daytime temp
Average yearly precipitation
Soil nitrogen content
Available P in soil
Available K in soil
60%
🌾

Awaiting Your Land Data

Fill in the form on the left and click Predict to see which crops are best suited for your field.

🎯 Top Crop Recommendations

Based on your soil & climate inputs

📊 Agronomist's Note

Machine Learning

How the AI Prediction Works

Our model uses a multi-feature Decision Tree trained on Indian agro-climatic zone datasets from ICAR, Krishi Vigyan Kendras, and state agriculture departments.

📥

Input Features

Soil pH, NPK values, rainfall, temperature, humidity and region are collected as 10 input features.

🌳

Decision Tree Model

A multi-class Decision Tree classifier splits data by the most informative feature at each node.

📊

Confidence Scoring

Each predicted crop receives a suitability score based on how closely your inputs match ideal growing conditions.

🌾

Top-3 Ranking

Results are ranked by suitability score. The #1 crop is the best fit; others are viable alternatives.

📈 22 Crop Classes supported
🗺️ 8 Agro-climatic zones covered
🧬 10 Features per prediction
ICAR Guidelines aligned