Deteksi dan Klasifikasi Kematangan Pisang menggunakan YOLOv8 dan Model Hibrida MobileNetV2–KNN
Banana ripeness is a key indicator of fruit quality, shelf life, and commercial value; however, manual assessment remains subjective and inconsistent, highlighting the need for an automated and objective classification system. This study aims to develop a high-accuracy and stable hybrid model for cl...
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| Principais autores: | , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Universitas Hamzanwadi
2025-12-01
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| Serier: | Edumatic |
| Fag: | |
| Online adgang: | https://e-journal.hamzanwadi.ac.id/index.php/edumatic/article/view/32597 |
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