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Deep Learning

Plant Leaf Disease Detection using CNN

Detecting and classifying plant leaf diseases from images using deep learning.

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Project Overview

An agricultural application of deep learning to identify various plant diseases from images of leaves, aiding in early diagnosis and treatment.

Technologies Used

PythonTensorFlowKerasCNN

Methodology

  1. 1Collecting and annotating leaf disease datasets for supervised learning.
  2. 2Building and training Convolutional Neural Networks for disease classification.
  3. 3Evaluating model performance on unseen disease images and healthy leaves.
  4. 4Deploying models for practical use in farming and agricultural monitoring.

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