banana, barley, cabbage, carrot, chili_pepper, cinnamon, coconut, corn, cotton, cucumber, eggplant, groundnut, lettuce, mango, onion, papaya, potato, rice, rubber, sorghum, soybean, sugarcane, tea, tomato, wheat

Input Features

crop_type (string) - one of the supported crops
soil_moisture (float, 0-100%)
temperature (float, Celsius)
humidity (float, 0-100%)
wind_speed (float, m/s)
pressure (float, hPa)

Usage

python

import joblib
from huggingface_hub import hf_hub_download

model = joblib.load(hf_hub_download("dimeshanthoney/govicare", "crop_risk_model.joblib"))
scaler = joblib.load(hf_hub_download("dimeshanthoney/govicare", "scaler.joblib"))
encoder = joblib.load(hf_hub_download("dimeshanthoney/govicare", "encoder.joblib"))

Training

Trained on 125,000 synthetic samples across 25 crop types using scientifically-backed agronomic thresholds from FAO, IRRI, and USDA sources.