├── Data_Preprocessing.ipynb ├── LICENSE ├── README.md ├── api ├── V1 │ ├── __pycache__ │ │ ├── imageprocess.cpython-38.pyc │ │ └── predictor.cpython-38.pyc │ ├── imageprocess.py │ ├── main.py │ ├── models │ │ ├── Applemodel_V1.sav │ │ ├── Tomatomodel_V1.sav │ │ ├── cornmodel_V1.sav │ │ ├── grapesmodel_V1.sav │ │ └── potatomodel_V1.sav │ ├── predictor.py │ ├── test │ │ ├── a1.JPG │ │ ├── a2.JPG │ │ ├── a3.JPG │ │ ├── a4.JPG │ │ ├── c5.jpg │ │ ├── c6.JPG │ │ ├── g7.JPG │ │ ├── g8.JPG │ │ ├── p10.JPG │ │ ├── p9.JPG │ │ ├── t11.JPG │ │ ├── t12.JPG │ │ └── t13.JPG │ └── testing_script.py ├── V2_flask_integration │ ├── __pycache__ │ │ ├── imageprocess.cpython-38.pyc │ │ └── predictor.cpython-38.pyc │ ├── app.py │ ├── imageprocess.py │ ├── models │ │ ├── Applemodel_V1.sav │ │ ├── Tomatomodel_V1.sav │ │ ├── cornmodel_V1.sav │ │ ├── grapesmodel_V1.sav │ │ └── potatomodel_V1.sav │ ├── predictor.py │ ├── static │ │ └── style1.css │ └── templates │ │ └── index.html ├── api testing │ ├── AppleCedarRust2.JPG │ ├── PotatoEarlyBlight1.JPG │ ├── PotatoHealthy1.JPG │ ├── TomatoEarlyBlight1.JPG │ └── TomatoYellowCurlVirus6.JPG └── v4_ibmcloud_failed │ ├── Dockerfile │ ├── Procfile │ ├── imageprocess.py │ ├── manifest.yml │ ├── models │ ├── Applemodel_V1.sav │ ├── Tomatomodel_V1.sav │ ├── cornmodel_V1.sav │ ├── grapesmodel_V1.sav │ └── potatomodel_V1.sav │ ├── predictor.py │ ├── requirements.txt │ ├── runtime.txt │ ├── server.py │ ├── setup.py │ ├── static │ └── style1.css │ └── templates │ └── index.html ├── da_and_md ├── apple │ ├── Apple_DA_and_MD.ipynb │ ├── Applemodel_V1.sav │ ├── acuuracyandf1.png │ ├── cf.png │ ├── correlation.png │ └── roc.png ├── corn │ ├── .ipynb_checkpoints │ │ └── Corn_DA_and_MD-checkpoint.ipynb │ ├── Corn_DA_and_MD.ipynb │ ├── accuracy.png │ ├── cf.png │ ├── cornmodel_V1.sav │ ├── correlation.png │ └── roc.png ├── grapes │ ├── accuracy.png │ ├── cf.png │ ├── correlation.png │ ├── grapes_DA_and_MD.ipynb │ ├── grapesmodel_V1.sav │ └── roc.png ├── potato │ ├── accuracy.png │ ├── cf.png │ ├── correlation.png │ ├── potato_DA_and_MD.ipynb │ ├── potatomodel_V1.sav │ └── roc.png └── tomato │ ├── Tomatomodel_V1.sav │ ├── accuracy.png │ ├── cf.png │ ├── correlation.png │ ├── roc.png │ └── tomato_DA_and_MD.ipynb ├── dataset ├── hist │ ├── apple.png │ ├── corn.png │ ├── grapes.png │ ├── potato.png │ └── tomato.png └── processed datasets │ ├── dataset_apple.xlsx │ ├── dataset_corn.xlsx │ ├── dataset_grapes.xlsx │ ├── dataset_potato.xlsx │ └── dataset_tomato.xlsx ├── process_image.py └── report ├── 1_g8.JPG ├── 2_greayscale.png ├── 3_blur.png ├── 4_otsus.png ├── 5_closing.png ├── closing.png ├── final_output.png ├── final_report └── COURSE PROJECT report.docx └── ipsteps.py /Data_Preprocessing.ipynb: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Pranesh6767/Plant-Disease-Detection-Using-Digital-Image-Processing/HEAD/Data_Preprocessing.ipynb 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