# Classification of Sugarcane Leaf Disease

## Model Description
The model is based on EfficientNet architecture and has been fine-tuned on a balanced dataset containing six classes:

- **Bacterial Blight Disease**
- **Healthy Leaves**
- **Mosaic Disease**
- **Red Rot Disease**
- **Rust Disease**
- **Yellow Disease**

The model accepts RGB images of sugarcane leaves and outputs the predicted disease class.

## Dataset
The dataset used for training consists of **19926 images** of sugarcane leaves, evenly distributed across the six disease classes. Each image has been pre-processed and augmented to improve model performance.

### Data Augmentation Techniques Used:

- Random rotation
- Flipping
- Zooming
- Resizing
- Cropping

## Model Evaluation
Epoch [10/10], Loss: 0.2903, Accuracy: 90.28%
Validation Loss: 0.3633, Accuracy: 86.32%

Accuracy_test: 0.8683

## Acknowledgements
The dataset used for training can be found : https://www.kaggle.com/datasets/akilesh253/sugarcane-plant-diseases-dataset

## License : CDLA-Sharing-1.0