Akhilesh Kumbar
Back to projects
•
1 min read
Plant Disease Detection Model
  1. Trained a model to analyze images and feed input to CNN, followed by the use of the ReLU activation function to eliminate non-linearity, Normalization, and provide 42 categories
  2. 91.6% accuracy rate was achieved using early stopping while Training the model on 80 epochs