An application that facilitates farmers, scientists and botanists to detect the type of plant or crops, detect any kind of diseases in them. The app sends the image of the plant to the server where it is analysed using CNN classifier model. Once detected, the disease and its solutions are displayed to the user.
Trained to identify 5 classes for Disease Detection and 24 classes for Disease Classification
- Disease Classification Classes
- Apple___Apple_scab
- Apple___Black_rot
- Apple___Cedar_apple_rust
- Apple___healthy
- Blueberry___healthy
- Cherry___healthy
- Cherry___Powdery_mildew
- Grape___Black_rot
- Grape___Esca_Black_Measles
- Grape___healthy
- Grape___Leaf_blight_Isariopsis_Leaf_Spot
- Orange___Haunglongbing
- Peach___Bacterial_spot
- Peach___healthy
- Pepper,_bell___Bacterial_spot
- Pepper,_bell___healthy
- Potato___Early_blight
- Potato___healthy
- Raspberry___healthy
- Soybean___healthy
- Squash___Powdery_mildew
- Strawberry___healthy
- Strawberry___Leaf_scorch
- Disease Detection Classes
- Cherry___healthy
- Cherry___Powdery_mildew
- Grape___Black_rot
- Grape___Esca_Black_Measles
- Grape___healthy
- Grape___Leaf_blight_Isariopsis_Leaf_Spot
- Install the required dependencies
pip install -r requirements.txt
- Command for running app
streamlit run app.py
- This app is deployed on Heroku
Note: The tensorflow model load into the memory and hence can be slow on heroku as compared to the local enviornment
- I am currently learning everything
- 2020 Goals: Contribute more to Open Source projects
- Fun fact: I love to play table tennis and guitar / drums
