Detecting diseases in rice plants and classifying them according to it.
Trained Classes:- Bacterial leaf blight, Leaf smut, Brown Spot, Healthy
| Model | Training Accuracy | Validation Accuracy |
|---|---|---|
| Inception V3 model | accuracy: 0.9905 | accuracy : 0.8198 |
| MobileNetV2 | accuracy: 0.9500 | accuracy: 0.8125 |
| NasNetMobile | accuracy : 0.9320 | accuracy: 0.8044 |
| SVM Technique | accuracy : 0.85 | |
| K Nearest Neighbors | accuracy: 0.62 | |
| Decision Tree | accuracy : 0.54 |
Decision Tree and KNN needs to be improved
While running the API, you may have to wait for a few seconds at first to load all the models.
1. Download / Clone this repository
2. Make sure you have installed the necessary libraries given in requirements.txt
3. Open your terminal and change your directory to the cloned repository
> cd Documents/GitHub/Rice-Plant-Disease-Detection
4. Run the app.py in your command terminal
> python app.py
5. Open the app locally in your web broswer
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(OSError: SavedModel not found at ".....)
Please check your savedmodel file and check whether ince_model.h5 is a pointer file ( i.e 1kb file). If yes, please go to the savedmodel file in my github repo and manually download the ince_model.h5 (108mb file)
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Please do check whether the file path's in the app.py file is changed to your local paths. Else it would throw an error.
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Install the necessary libraries required to run the app to avoid any other possible errors.