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plant-disease-detection

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This project aims developing system that can identify and categorize diseases in plant leaves from images. This process integrates various stages from data collection to deployment, utilizing advanced machine learning techniques to improve agricultural productivity and plant health.

  • Updated Jun 8, 2024
  • Jupyter Notebook

This project uses a Convolutional Neural Network (CNN) to classify potato plant images as Healthy, Early Blight, or Late Blight. Built with TensorFlow and Keras, it helps in quickly identifying plant diseases for better crop management.

  • Updated Nov 3, 2024
  • Jupyter Notebook

GreenGuardian is an innovative Flutter app designed to empower users with the ability to swiftly identify and address plant diseases. Leveraging the robust Haar Cascade algorithm for image processing and disease detection, this app simplifies the process by allowing users to capture or select images of plant leaves directly from their mobile device

  • Updated Aug 18, 2024
  • Jupyter Notebook

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