Update README.md
Browse files
README.md
CHANGED
|
@@ -13,6 +13,92 @@ This application helps farmers and gardeners identify plant diseases and get tre
|
|
| 13 |
1. **Image-based disease detection**: Upload an image of your plant to identify potential diseases
|
| 14 |
2. **Question answering**: Ask questions about plant diseases and treatments
|
| 15 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 16 |
## Features
|
| 17 |
|
| 18 |
- Image analysis for disease detection
|
|
|
|
| 13 |
1. **Image-based disease detection**: Upload an image of your plant to identify potential diseases
|
| 14 |
2. **Question answering**: Ask questions about plant diseases and treatments
|
| 15 |
|
| 16 |
+
|
| 17 |
+
# Plant Disease Treatment Assistant
|
| 18 |
+
|
| 19 |
+
This application helps identify plant diseases from images and provides treatment recommendations. It uses a deep learning model trained on the PlantVillage dataset to classify plant diseases from uploaded images.
|
| 20 |
+
|
| 21 |
+
## Features
|
| 22 |
+
|
| 23 |
+
- **Image-based Disease Detection**: Upload an image of a plant leaf to identify diseases
|
| 24 |
+
- **Treatment Recommendations**: Get specific treatment advice for identified diseases
|
| 25 |
+
- **Q&A System**: Ask questions about plant diseases and treatments
|
| 26 |
+
|
| 27 |
+
## Dataset
|
| 28 |
+
|
| 29 |
+
This application uses the PlantVillage dataset, which contains images of healthy and diseased plant leaves across various crops including:
|
| 30 |
+
- Apple
|
| 31 |
+
- Cherry
|
| 32 |
+
- Corn
|
| 33 |
+
- Grape
|
| 34 |
+
- Peach
|
| 35 |
+
- Pepper
|
| 36 |
+
- Potato
|
| 37 |
+
- Strawberry
|
| 38 |
+
- Tomato
|
| 39 |
+
|
| 40 |
+
## Setup Instructions
|
| 41 |
+
|
| 42 |
+
### For Hugging Face Spaces Deployment
|
| 43 |
+
|
| 44 |
+
1. Create a new Space on Hugging Face
|
| 45 |
+
2. Upload all the files in this repository
|
| 46 |
+
3. The Space will automatically install dependencies and launch the application
|
| 47 |
+
|
| 48 |
+
### For Local Development
|
| 49 |
+
|
| 50 |
+
1. Clone this repository
|
| 51 |
+
2. Install dependencies:
|
| 52 |
+
\`\`\`
|
| 53 |
+
pip install -r requirements.txt
|
| 54 |
+
\`\`\`
|
| 55 |
+
3. Download the PlantVillage dataset
|
| 56 |
+
4. Prepare the dataset:
|
| 57 |
+
\`\`\`
|
| 58 |
+
python create_dataset.py
|
| 59 |
+
\`\`\`
|
| 60 |
+
5. Create the treatments database:
|
| 61 |
+
\`\`\`
|
| 62 |
+
python create_treatments_csv.py
|
| 63 |
+
\`\`\`
|
| 64 |
+
6. Train the model (optional, pre-trained weights are included):
|
| 65 |
+
\`\`\`
|
| 66 |
+
python train_model.py
|
| 67 |
+
\`\`\`
|
| 68 |
+
7. Run the application:
|
| 69 |
+
\`\`\`
|
| 70 |
+
python app.py
|
| 71 |
+
\`\`\`
|
| 72 |
+
|
| 73 |
+
## How to Use
|
| 74 |
+
|
| 75 |
+
1. **Image Analysis**:
|
| 76 |
+
- Upload a clear image of a plant leaf
|
| 77 |
+
- Click "Analyze Image"
|
| 78 |
+
- View the diagnosis and treatment recommendations
|
| 79 |
+
|
| 80 |
+
2. **Q&A**:
|
| 81 |
+
- Type a question about plant diseases or treatments
|
| 82 |
+
- Click "Get Answer"
|
| 83 |
+
- View the response with relevant information
|
| 84 |
+
|
| 85 |
+
## Model Details
|
| 86 |
+
|
| 87 |
+
The application uses a ResNet-50 model fine-tuned on the PlantVillage dataset. The model achieves approximately 95% accuracy on the validation set.
|
| 88 |
+
|
| 89 |
+
## Citation
|
| 90 |
+
|
| 91 |
+
If you use this application or the model in your research, please cite:
|
| 92 |
+
|
| 93 |
+
\`\`\`
|
| 94 |
+
@article{hughes2015open,
|
| 95 |
+
title={An open access repository of images on plant health to enable the development of mobile disease diagnostics},
|
| 96 |
+
author={Hughes, David P and Salath{\'e}, Marcel},
|
| 97 |
+
journal={arXiv preprint arXiv:1511.08060},
|
| 98 |
+
year={2015}
|
| 99 |
+
}
|
| 100 |
+
|
| 101 |
+
|
| 102 |
## Features
|
| 103 |
|
| 104 |
- Image analysis for disease detection
|