A curated dataset and lightweight deep learning framework for tea leaf disease classification
Fig 5
Training and validation performance of the customized CNN.
The plots illustrate the loss history (left) and accuracy history (right) over 30 epochs, demonstrating a steady convergence in training while revealing characteristic fluctuations in validation metrics typical of learning on high-variance natural field imagery.