Welcome to the Potato Leaf Disease Recognition System! This system helps in identifying potato plant diseases quickly and accurately. By simply uploading or capturing an image of a potato leaf, our system automatically detects potential diseases, offering instant results with high accuracy.
- Upload or Capture Image – You can either upload an image or capture a live photo of the potato leaf.
- Disease Detection – The system processes the image using a deep learning model to identify the disease.
- Instant Results – Receive immediate predictions on the condition of the potato plant.
- Early Blight
- Late Blight
- Healthy
- Upload Image – Upload an image of the potato leaf for analysis.
- Analysis – The system processes the image and predicts the disease using a trained machine learning model.
- Result – Instantly get the disease name based on the uploaded or captured image.
- TensorFlow – For building and utilizing the pre-trained model.
- Streamlit – To build the interactive web interface.
- PIL – To handle image processing tasks such as resizing.
- NumPy – For numerical computations and image array manipulation.
- OpenCv - For image handling.
- Dataset Source: Kaggle Potato Leaf Disease Dataset.
- Dataset Details (After mannual arrangements):
- Train: 1722 images
- Validation: 215 images
- Test: 215 images
- 3 Classes: Early Blight, Late Blight, Healthy