Plant disease detection system

[venkat-2811]

Pull Request for PyVerse 💡

Requesting to submit a pull request to the PyVerse repository.

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Issue Title

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#754 Plant-Disease-Detection-System.

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Info about the Related Issue

What's the goal of the project?
An application that for farmers to detect the type of plant or crops, detect any kind of diseases in them. The app sends the image of the plant to the server where it is analysed using CNN classifier model. Once detected, the disease and its solutions are displayed to the user

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Name

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Sunkara Venkata Karthik Sai

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GitHub ID

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venkat-2811

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Email ID

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venkatakarthiksai.s@gmail.com

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Identify Yourself

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GSSOC'24 Extd Contributor

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Closes

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*Closes: #754 *

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Describe the Add-ons or Changes You've Made

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Plant-disease-detection

About the Project

An application that for farmers to detect the type of plant or crops, detect any kind of diseases in them. The app sends the image of the plant to the server where it is analysed using CNN classifier model. Once detected, the disease and its solutions are displayed to the user

Model

Trained to identify 5 classes for Disease Detection and 24 classes for Disease Classification.
Dataset can be downloaded form kaggle

       - Disease Classification Classes

                   - Apple___Apple_scab
                   - Apple___Black_rot
		   - Apple___Cedar_apple_rust
		   - Apple___healthy
		   - Blueberry___healthy
		   - Cherry___healthy
		   - Cherry___Powdery_mildew
		   - Grape___Black_rot
		   - Grape___Esca_Black_Measles
		   - Grape___healthy
		   - Grape___Leaf_blight_Isariopsis_Leaf_Spot
		   - Orange___Haunglongbing
		   - Peach___Bacterial_spot
		   - Peach___healthy
		   - Pepper,_bell___Bacterial_spot
		   - Pepper,_bell___healthy
		   - Potato___Early_blight
		   - Potato___healthy
		   - Raspberry___healthy
		   - Soybean___healthy
		   - Squash___Powdery_mildew
		   - Strawberry___healthy
		   - Strawberry___Leaf_scorch
		
        - Disease Detection Classes
        
		   - Cherry___healthy
		   - Cherry___Powdery_mildew
		   - Grape___Black_rot
		   - Grape___Esca_Black_Measles
		   - Grape___healthy
		   - Grape___Leaf_blight_Isariopsis_Leaf_Spot 

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Type of Change

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• Bug fix (non-breaking change which fixes an issue)
• New feature (non-breaking change which adds functionality)
• Code style update (formatting, local variables)
• Breaking change (fix or feature that would cause existing functionality to not work as expected)
• This change requires a documentation update

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How Has This Been Tested?

Describe how your changes have been tested.
I have tested my application using various plant disease images and it successfully identified and given us the result.

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Checklist

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• My code follows the guidelines of this project.
• I have performed a self-review of my own code.
• I have commented my code, particularly wherever it was hard to understand.
• I have made corresponding changes to the documentation.
• My changes generate no new warnings.
• I have added things that prove my fix is effective or that my feature works.
• Any dependent changes have been merged and published in downstream modules.

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[UTSAVS26]

@venkat-2811 does all the files necessary you are adding around 400 new files.

[venkat-2811]

Yes sir , it is for efficient detection and classification.

[UTSAVS26]

@venkat-2811 sync your repo as it has branch conflicts.

[venkat-2811]

Done sir.

[UTSAVS26]

Done sir.

It's not done it is still showing branch conflicts.