A. Affandy

Comparative Analysis of Convolutional Neural Network, MobileNetV2, and EfficientNet for Tomato Leaf Disease Classification

Tomato leaf diseases pose a serious threat to crop productivity and require accurate and efficient identification methods. Traditional visual inspection is time-consuming and prone to human error, motivating the need for automated image-based classification approaches. This study aims to evaluate the effectiveness of d...