Detecting Chili Ripeness Using YOLOv11
This study aims to develop a deep learning-based chili ripeness detection system using the YOLOv11 model. Chili ripeness is classified into three categories: unripe, semi-ripe, and ripe. The dataset consists of 150 original images, which were expanded to 300 images to increase data variation. Model...
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| Главные авторы: | , , |
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| Формат: | Artigo |
| Язык: | Indonésio |
| Опубликовано: |
Islamic University of Indragiri
2026-02-01
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| Серии: | Sistemasi: Jurnal Sistem Informasi |
| Предметы: | |
| Online-ссылка: | https://sistemasi.ftik.unisi.ac.id/index.php/stmsi/article/view/6122 |
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