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crop diseases detection demo webapp => https://which-crop-disease.onrender.com |

Home Page: https://nbviewer.jupyter.org/github/shubhajitml/crop-disease-detector/blob/master/notebook/plant_village.ipynb

License: MIT License

Dockerfile 0.02% Python 0.20% CSS 0.07% HTML 0.15% JavaScript 0.09% Jupyter Notebook 99.45%
deep-learning computer-vision deployment crop-disease

crop-disease-detector's Introduction

Trained resnet-50 for plant disease finegrained classification task using fastai.
Models are trained on the preprocessed dataset which can be downloaded here.
Dataset is consisted of 38 disease classes from PlantVillage dataset and 1 background class from Stanford's open dataset of background images - DAGS.
80% of the dataset is used for training and 20% for validation.

Citation:
When using any part of this repo, please cite: Plant Village Dataset Paper

Dataset Description:

Name No of Classes Class Names
Apple 04 'Apple___Apple_scab','Apple___Black_rot','Apple___Cedar_apple_rust','Apple___healthy'
Blueberry 01 'Blueberry___healthy'
Cherry 02 'Cherry_(including_sour)Powdery_mildew', 'Cherry(including_sour)_healthy'
Corn 04 'Corn___Cercospora_leaf_spot', 'Corn___Common_rust','Corn___Northern_Leaf_Blight','Corn___healthy'
Grape 04 'Grape___Black_rot','Grape___Esca_(Black_Measles)','Leaf_blight_(Isariopsis_Leaf_Spot)','Grape___healthy'
Orange 01 'Orange___Haunglongbing_(Citrus_greening)'
Peach 02 'Peach___Bacterial_spot','Peach___healthy'
Pepper 02 'Pepper,_bell___Bacterial_spot','Pepper,_bell___healthy'
Potato 03 'Potato___Early_blight','Potato___Late_blight','Potato___healthy'
Raspberry 01 'Raspberry___healthy'
Soyabean 01 'Soybean___healthy'
Squash 01 'Squash___Powdery_mildew'
Strawberry 02 'Strawberry___Leaf_scorch','Strawberry___healthy'
Tomato 10 Tomato: 'Bacterial_spot','Early_blight', 'Late_blight', 'Leaf_Mold', 'Septoria_leaf_spot', 'Spider_mites','Target_Spot', 'Yellow_Leaf_Curl_Virus', 'Mosaic_virus', 'Healthy'

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