Title: Image-Based Tea Leaves Diseases Detection Using Deep Learning
Authors: Mohammed khair I. Kassab, Samy S. Abu Naser
Volume: 9
Issue: 6
Pages: 70-73
Publication Date: 2025/06/28
Abstract:
Using a public dataset of 2990 images of infected and healthy tea leaves, we trained deep convolutional neural network model to identify 4 types of tea leaf diseases. The model achieved an accuracy of 99.84%, on a held-out test set.