DETEKSI PENYAKIT PADA TANAMAN HORTIKULTURA MENGGUNAKAN ENSEMBLE LEARNING DAN VISION TRANSFORMER
Traditional tomato disease detection often relies on visual inspection by humans, making the process subjective, time-consuming, and susceptible to inconsistencies. This study proposes an automated image-based tomato leaf disease detection system using an ensemble learning approach that combines a Convolutional Neural...