muskanmahajan37/plant-diseases-recognition

CNN classifier for recognizing plant diseases using Keras

Deep Learning Based Plant Diseases Recognition

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:

1. Apple-> Apple scab
2. Apple-> Black rot
3. Apple-> Cedar apple rust
4. Apple-> healthy
5. Blueberry-> healthy
6. Cherry-> Powdery mildew
7. Cherry-> healthy
8. Corn-> Cercospora leaf spot (Gray leaf spot)
9. Corn-> Common rust
10. Corn-> Northern Leaf Blight
11. Corn-> healthy
12. Grape-> Black rot
13. Grape-> Esca (Black Measles)
14. Grape-> Leaf blight (Isariopsis Leaf Spot)
15. Grape-> healthy
16. Orange-> Haunglongbing (Citrus greening)
17. Peach-> Bacterial spot
18. Peach-> healthy
19. Pepper, bell-> Bacterial spot
20. Pepper, bell-> healthy
21. Potato-> Early blight
22. Potato-> Late blight
23. Potato-> healthy
24. Raspberry-> healthy
25. Soybean-> healthy
26. Squash-> Powdery mildew
27. Strawberry-> Leaf scorch
28. Strawberry-> healthy
29. Tomato-> Bacterial spot
30. Tomato-> Early blight
31. Tomato-> Late blight
32. Tomato-> Leaf Mold
33. Tomato-> Septoria leaf spot
34. Tomato-> Spider mites (Two-spotted spider mite)
35. Tomato-> Target Spot
36. Tomato-> Tomato Yellow Leaf Curl Virus
37. Tomato-> Tomato mosaic virus
38. Tomato-> healthy

Requirements:

1. Python
2. Tensorflow
3. Keras
4. Django
5. PIL
6. Numpy

Download model from the following link and paste it in the same folder as views.py:

https://drive.google.com/file/d/1FZXraDDPqbRTX-QeiQclfojgtoLddxQ_/view