Enhanced batch sorting and rapid sensory analysis of Mackerel products using YOLOv5s algorithm and CBAM: Validation through TPA, colorimeter, and PLSR analysis

Enhanced batch sorting and rapid sensory analysis of Mackerel products using YOLOv5s algorithm and CBAM: Validation through TPA, colorimeter, and PLSR analysis

This study employed the YOLOv5s algorithm to establish a rapid quality identification model for Pacific chub mackerel (S. japonicus) and Spanish mackerel (S. niphonius). Data augmentation was conducted using the copy-paste augmentation within the YOLOv5s network. Furthermore, a small object detectio...

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Bibliographic Details
Main Authors: Yi-Zhen Huang, Lin Han, Xiaoqing Yang, Yu Liu, Bei-Wei Zhu, Xiu-Ping Dong
Format: Article
Language:English
Published: Elsevier 2023-10-01
Series:Food Chemistry: X
Subjects:
Mackerel
Rapid method
Deep learning
Object detection
Sensory
Online Access:http://www.sciencedirect.com/science/article/pii/S2590157523001761

Internet

http://www.sciencedirect.com/science/article/pii/S2590157523001761

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