Rice consists of various varieties withdistinctmorphological characteristics, yet manual classification remains subjective and reliant on expert judgment. This study develops an automated rice variety classification system using the Convolutional Neural Network (CNN) method with the MobileNetV2 architecture. The dataset includes 75,000 images of five rice varieties, divided into 70% training, 5…