---
license: mit
library_name: pytorch
---

# AgroAid Models

Trained models for the AgroAid smart farming application:

## Crop Disease Classifier
- Model: ResNet-18
- Dataset: PlantVillage (54 classes, 87K images)
- Training notebook: arinbalyan/agroaid-crop-disease-classification
- Status: Training on Kaggle

## Crop Yield Predictor
- Model: LightGBM / Random Forest
- Dataset: FAO Crop Yield (Kaggle)
- Training notebook: arinbalyan/agroaid-crop-yield-prediction
- Status: Training on Kaggle

## Crop Recommendation
- Model: XGBoost
- Dataset: Kaggle Crop Recommendation
- Training notebook: arinbalyan/agroaid-crop-recommendation
- Status: Training on Kaggle

Models will be uploaded after Kaggle training completes.