Plant Disease Classification

• Monk AI hyperparamter tuning
• Decided model = resnet50
• Train-acc: 0.926
• Train-loss: 0.241
• Val-acc: 0.965104
• Val-loss: 0.126

Performing hyperparameter tuning and deciding best Convolutional neural network (CNN) architecture using MONK AI to classify 39 different plant leaf images using the data gathered by Plant Village. Tunned the hyperparameters like batch_size, input_sizes, learning_rate, optimizers, etc, and then trained and compared different experiments.

DATASET

LABELS:-

1. Strawberry healthy
2. background
3. Grape Black_rot
4. Potato___Early_blight
5. Blueberry___healthy
6. Corn_(maize)___healthy
7. Tomato___Target_Spot
8. Peach___healthy
9. Potato___Late_blight
10. Tomato___Late_blight
11. Tomato___Tomato_mosaic_virus
12. Pepper
13. Orange___Haunglongbing_(Citrus_greening)
14. Tomato___Leaf_Mold
15. Grape___Leaf_blight_(Isariopsis_Leaf_Spot)
16. Cherry_(including_sour)___Powdery_mildew
17. Apple___Cedar_apple_rust
18. Tomato___Bacterial_spot
19. Grape___healthy
20. Tomato___Early_blight
21. Corn_(maize)__Common_rust
22. Grape___Esca_(Black_Measles)
23. Raspberry___healthy
24. Tomato___healthy
25. Cherry_(including_sour)___healthy
26. Tomato___Tomato_Yellow_Leaf_Curl_Virus
27. Apple___Apple_scab
28. Corn_(maize)___Northern_Leaf_Blight
29. Tomato___Spider_mites Two-spotted_spider_mite
30. Peach___Bacterial_spot
31. Pepper
32. Tomato___Septoria_leaf_spot
33. Squash___Powdery_mildew
34. Corn_(maize)___Cercospora_leaf_spot Gray_leaf_spot
35. Apple___Black_rot
36. Apple___healthy
37. Strawberry___Leaf_scorch
38. Potato___healthy
39. Soybean___healthy