🌿 Potato Leaf Disease Detection

An AI-powered deep learning project that detects and classifies potato leaf diseases using Convolutional Neural Networks (CNN). This system helps in early identification of plant diseases, enabling farmers to take timely action and improve crop yield.

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🚀 Features

• 🔍 Detects potato leaf diseases from images
• 🧠 Built using Deep Learning (CNN / ResNet50)
• 📊 Accurate classification of multiple disease types
• ⚡ Fast and efficient prediction system
• 🌱 Supports smart agriculture and crop monitoring

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🧠 Tech Stack

• Language: Python
• Libraries: TensorFlow, Keras, NumPy, OpenCV, Matplotlib
• Model: CNN / ResNet50
• Tools: Jupyter Notebook / VS Code

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📁 Project Structure

Potato-Leaf-Disease-Detection/ │ ├── dataset/ # Training & testing images
├── model/ # Saved trained model
├── notebooks/ # Jupyter notebooks
├── app/ # (Optional) Web app / interface
├── requirements.txt # Dependencies
└── README.md

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⚙️ Installation & Setup

1️⃣ Clone the repository

git clone https://github.com/Akhilanandateja/Potato-Leaf-Disease-Detection.git
cd Potato-Leaf-Disease-Detection

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2️⃣ Install dependencies

pip install -r requirements.txt

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3️⃣ Run the project

python app.py

OR (for notebook)

jupyter notebook

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📸 Sample Output

• Healthy Leaf 🌱
• Early Blight 🍂
• Late Blight 🍁

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📊 Model Performance

• Achieved high accuracy using CNN architecture
• Optimized using data preprocessing and augmentation
• Improved performance using transfer learning (ResNet50)

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💡 Future Improvements

• 🌐 Deploy as a web/mobile application
• 📱 Real-time detection using camera
• ☁️ Cloud-based model hosting
• 🔍 Expand to more crop diseases

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🤝 Contributing

Contributions are welcome! Feel free to fork this repository and submit a pull request.

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📬 Contact

Akhilanandateja Sanga
📧 Email: akhilanandatejasanga@gmail.com
🔗 GitHub: https://github.com/Akhilanandateja

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⭐ If you like this project

Give it a ⭐ on GitHub and support!