juc_1_20261011162444 20261011162444 JURNAL UJI COBA purwan78@gmail.com Karoteh Utama Publisher JURNAL UJI COBA JUC 1234-273X 09212026 1 1 Rina Kusuma Universitas Nusantara Raya Bagus Prasetyo Universitas Nusantara Raya Rice leaf diseases cause yield losses of up to 30% in smallholder farms, yet most detection models are too heavy for the low-cost devices farmers can afford. We propose a distilled vision transformer with 3.1 million parameters that runs at 24 frames per second on a single-board computer. Trained on 18,400 field images from four provinces, the model reaches 94.6% accuracy across six disease classes, within 1.2 points of a full-size baseline. Field trials with 42 farmers show that diagnosis time fell from days to under a minute. 09212026 114 https://creativecommons.org/licenses/by/4.0/ https://uji.purwantoro.my.id/article/1