https://github.com/syedissambukhari/eggplant-disease-classification-using-cnn

This repository contains code and resources for classifying eggplant diseases using Convolutional Neural Networks (CNN). The project aims to provide a solution for identifying diseases in eggplants through image classification techniques, facilitating early detection and intervention to prevent crop losses.
https://github.com/syedissambukhari/eggplant-disease-classification-using-cnn

cnn cnn-classification cnn-keras cnn-model plantdisease plantdiseaseclassification plantdiseasedetection

Last synced: about 1 month ago
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This repository contains code and resources for classifying eggplant diseases using Convolutional Neural Networks (CNN). The project aims to provide a solution for identifying diseases in eggplants through image classification techniques, facilitating early detection and intervention to prevent crop losses.

• Host: GitHub
• URL: https://github.com/syedissambukhari/eggplant-disease-classification-using-cnn
• Owner: syedissambukhari
• Created: 2024-03-13T12:29:50.000Z (10 months ago)
• Default Branch: main
• Last Pushed: 2024-03-13T12:46:04.000Z (10 months ago)
• Last Synced: 2024-03-13T13:52:16.792Z (10 months ago)
• Topics: cnn, cnn-classification, cnn-keras, cnn-model, plantdisease, plantdiseaseclassification, plantdiseasedetection
• Language: Jupyter Notebook
• Homepage:
• Size: 3.52 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Eggplant Disease Classification using CNN

This project focuses on leveraging Convolutional Neural Networks (CNN) to classify diseases affecting eggplants. By utilizing deep learning techniques, this solution aims to provide a robust mechanism for early detection and classification of various eggplant diseases based on input images. The repository includes training scripts, dataset information, and model evaluation tools.

## Features

- Dataset preparation: Information and scripts for preparing the dataset for training.

- Model training: Scripts for training CNN models on the prepared dataset.

- Evaluation: Tools and scripts for evaluating model performance and analyzing results.

- Requirements: Details on the required libraries and dependencies to run the code.

## Usage

1. Clone the repository:

git clone https://github.com/syedissambukhari/Eggplant-disease-Classification-using-CNN.git

2. Prepare the dataset following the instructions in the `data_preparation` directory.

3. Train the CNN model using the scripts provided in the `model_training` directory.

4. Evaluate the trained models using the evaluation tools available in the repository.

5. Refer to the documentation for detailed instructions on each step and additional customization options.

## Contribution

Contributions to this project are welcome! If you find any bugs or have suggestions for improvements, please feel free to open an issue or submit a pull request.

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.