Potato Leaf Classification using Deep Learning

This project aims to classify potato leaves into two categories: Healthy and Late Blight. It uses Convolutional Neural Networks (CNNs), a deep learning technique, to automatically detect plant diseases from images of potato leaves. This early detection can help reduce agricultural losses and assist farmers in improving crop health management.

🚀 Technologies Used:

• Programming Language: Python 🐍
• Libraries:
  • TensorFlow
  • Keras
  • NumPy
  • Matplotlib
• Model: Convolutional Neural Networks (CNNs)

📊 Performance Results:

• Training Accuracy: 99%
• Validation Accuracy: 98%
• The model shows strong performance, indicating effective learning and generalization to new, unseen data.

🔍 Dataset:

• The dataset contains high-resolution images of potato leaves.
• Categories: Healthy and Late Blight.
• The dataset is publicly available on Kaggle.