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A Hybrid Framework Based on YOLOv8 and Vision Transformer for Multi-Class Detection and Classification of Coffee Fruit Maturity Levels

Detection and classification of coffee cherries based on maturity levels present a significant challenge in agricultural product processing systems, primarily due to the high visual similarity among classes within a single bunch. This study aims to develop a multi-class detection and classification...

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Main Authors: Ahmad Subki, M. Zulpahmi, Bahtiar Imran
Format: Artigo
Language:Inglês
Published: Politeknik Negeri Batam 2025-10-01
Series:Journal of Applied Informatics and Computing
Subjects:
yolov8
computer vision
object detection
multi-class classification of coffee fruits
Online Access:https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/10590
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