AgroScan EfficientNet-B0
This repository stores the trained model artifact for AgroScan, an Android-based plant disease screening system.
Model
- Architecture: EfficientNet-B0
- Framework: PyTorch / TorchVision
- Task: Close-up plant leaf disease classification
- Input size: 224 x 224 RGB image
- Number of classes: 39
Intended Use
This model is intended for close-up leaf-level screening of 38 PlantVillage disease/healthy classes across 14 crops, plus a Non_leaf_or_unknown class.
It is not intended for full farm-scene diagnosis, whole-plant images from far away, unsupported crops, or guaranteed agricultural diagnosis.
Test Result
Held-out PlantVillage test set:
- Top-1 accuracy: 99.56%
- Top-3 accuracy: 99.99%
- Macro F1: 99.40%
- Test images: 8215
Important Warning
This model provides an AI screening result only. It is not a guaranteed diagnosis. Users should consult an agricultural expert if the crop is valuable or symptoms spread.
Files
agroscan_efficientnet_b0.pth: trained PyTorch checkpointlabels.json: class label mappingmodel_manifest.json: model metadata and intended-use documentationplantvillage_test_metrics.json: test metricsplantvillage_test_confusion_matrix.png: confusion matrix
