This project focuses on using machine learning techniques to detect diseases in potato plants based on leaf images. The system provides farmers with a tool to identify various diseases early, offering recommendations for management and treatment.
- Image Upload: Allows users to upload images of potato leaves for disease analysis.
- Disease Prediction: Utilizes a machine learning model to predict diseases (e.g., early blight, late blight, healthy leaves).
- Recommendations: Provides actionable recommendations for disease management based on the identified problem.
- Educational Resources: Offers access to educational materials about potato diseases, prevention, and agricultural best practices.
- Python 3.x
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Clone the repository:
git clone https://github.com/frankkips/Potato_Plant_Disease_Classifier.git