🌿 Plant Disease Classifier

A deep learning-based web application that diagnoses diseases in plant leaves using convolutional neural networks (CNNs).

🚀 Live Demo

The application is currently deployed and available at: https://plant-disease-classifier-cnn.streamlit.app/

Video Demonstration

Plant.Disease.Classifier.-.Made.with.Clipchamp.2.mp4

✨ Features

• Instant Disease Detection: Upload an image of a plant leaf and get immediate diagnosis results
• Comprehensive Diagnosis: Provides detailed information on detected diseases, including causes, treatments, and prevention
• User-Friendly Interface: Clean, intuitive UI with image previews and visualization of results
• Multiple Plant Support: Currently supports tomatoes, potatoes, and bell peppers
• High Accuracy: 96.5% accuracy on test datasets
• Example Images: Try the application with pre-loaded example images

🧪 Supported Plant Diseases

The model can currently identify the following plants and diseases:

• Tomato:

  • Healthy
  • Bacterial Spot
  • Early Blight
  • Late Blight
  • Leaf Mold
  • Septoria Leaf Spot
  • Spider Mites
  • Target Spot
  • Yellow Leaf Curl Virus
  • Mosaic Virus

• Potato:

  • Healthy
  • Early Blight
  • Late Blight

• Bell Pepper:

  • Healthy
  • Bacterial Spot

🔧 Model Architecture

The application uses a custom CNN architecture with the following components:

• 5 convolutional blocks with batch normalization and ReLU activation
• Global Average Pooling
• Fully connected layers with dropout for regularization
• Trained on the PlantVillage dataset with data augmentation techniques
• Achieves 96.5% accuracy on the test set