| 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. | |