Implementation of YOLOv11 for Detection and Identification of Strawberry Ripeness Stages
This study presents the implementation and evaluation of YOLOv11m, the latest architecture in the YOLO (You Only Look Once) object detection family, for automated multi-stage strawberry ripeness detection. The model was trained on a publicly available Strawberry-DS dataset from Mendeley Data compris...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Politeknik Negeri Batam
2026-04-01
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| Series: | Journal of Applied Informatics and Computing |
| Assuntos: | |
| Acceso en liña: | https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/12283 |
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