Implementasi Deep Learning Untuk Deteksi Penyakit Pada Buah Jambu Biji Di Usi…

ABSTRACT Guava is one of the horticultural commodities with high economic value. However, its productivity may decline due to disease attacks that are difficult to detect during the early growth stage. This study applies a deep learning method with a transfer learning approach using the MobileNetV2 architecture to classify guava fruit conditions into two categories: healthy and diseased. The d…