Objective: Develop a machine learning model capable of identifying plant diseases from images of leaves using ivy. This project aims to offer a valuable tool for farmers, enabling early disease detection and the implementation of preventive measures.
Task Details:
Dataset: For this task, please utilize the PlantVillage Dataset, which is accessible at this link: PlantVillage Dataset. This dataset contains a vast collection of leaf images representing different plant diseases, which will serve as the foundation for training your model.
Expected Output: Your submission should include a Jupyter notebook that demonstrates the model development process, including data preprocessing, model training, and evaluation. Additionally, include the trained model files in the same directory.
Submission Directory: Please place your completed Jupyter notebook and model files in the Contributor_demos/Plant Disease Recognition subdirectory within the unifyai/demos repository.
How to Contribute:
Fork the unifyai/demos repository to your GitHub account.
Clone your forked repository to your local machine.
Create a new branch for your work on this specific use case.
Develop your model and prepare the Jupyter notebook as per the task details.
Place your work in the Contributor_demos/Plant Disease Recognition subdirectory.
Once you've completed your work, push your changes to your forked repository.
Submit a Pull Request (PR) from your repository to the unifyai/demos repository. Ensure your PR title clearly indicates the use case (e.g., "Plant Disease Recognition Demo Submission").
Contribution Guidelines:
Ensure your code is well-documented, making it easy for others to understand your methodology.
Provide a brief explanation within your PR description, summarizing the approach you took and any significant findings or challenges you encountered.
Objective: Develop a machine learning model capable of identifying plant diseases from images of leaves using ivy. This project aims to offer a valuable tool for farmers, enabling early disease detection and the implementation of preventive measures.
Task Details:
Dataset: For this task, please utilize the PlantVillage Dataset, which is accessible at this link: PlantVillage Dataset. This dataset contains a vast collection of leaf images representing different plant diseases, which will serve as the foundation for training your model.
Expected Output: Your submission should include a Jupyter notebook that demonstrates the model development process, including data preprocessing, model training, and evaluation. Additionally, include the trained model files in the same directory.
Submission Directory: Please place your completed Jupyter notebook and model files in the
Contributor_demos/Plant Disease Recognitionsubdirectory within theunifyai/demosrepository.How to Contribute:
unifyai/demosrepository to your GitHub account.Contributor_demos/Plant Disease Recognitionsubdirectory.unifyai/demosrepository. Ensure your PR title clearly indicates the use case (e.g., "Plant Disease Recognition Demo Submission").Contribution Guidelines: