This django based web application uses a trained convolutional neural network to identify the disease present on a plant leaf. It consists of 38 classes of different healthy and diseased plant leaves. The 38 classes are:
- Apple-> Apple scab
- Apple-> Black rot
- Apple-> Cedar apple rust
- Apple-> healthy
- Blueberry-> healthy
- Cherry-> Powdery mildew
- Cherry-> healthy
- Corn-> Cercospora leaf spot (Gray leaf spot)
- Corn-> Common rust
- Corn-> Northern Leaf Blight
- Corn-> healthy
- Grape-> Black rot
- Grape-> Esca (Black Measles)
- Grape-> Leaf blight (Isariopsis Leaf Spot)
- Grape-> healthy
- Orange-> Haunglongbing (Citrus greening)
- Peach-> Bacterial spot
- Peach-> healthy
- Pepper, bell-> Bacterial spot
- Pepper, bell-> healthy
- Potato-> Early blight
- Potato-> Late blight
- Potato-> healthy
- Raspberry-> healthy
- Soybean-> healthy
- Squash-> Powdery mildew
- Strawberry-> Leaf scorch
- Strawberry-> healthy
- Tomato-> Bacterial spot
- Tomato-> Early blight
- Tomato-> Late blight
- Tomato-> Leaf Mold
- Tomato-> Septoria leaf spot
- Tomato-> Spider mites (Two-spotted spider mite)
- Tomato-> Target Spot
- Tomato-> Tomato Yellow Leaf Curl Virus
- Tomato-> Tomato mosaic virus
- Tomato-> healthy
- Python
- Tensorflow
- Keras
- Django
- PIL
- Numpy
https://drive.google.com/file/d/1FZXraDDPqbRTX-QeiQclfojgtoLddxQ_/view