Deep machine learning identified fish flesh using multispectral imaging

Deep machine learning identified fish flesh using multispectral imaging

Food fraud is widespread in the aquatic food market, hence fast and non-destructive methods of identification of fish flesh are needed. In this study, multispectral imaging (MSI) was used to screen flesh slices from 20 edible fish species commonly found in the sea around Yantai, China, by combining...

Full description

Saved in:
Bibliographic Details
Main Authors: Zhuoran Xun, Xuemeng Wang, Hao Xue, Qingzheng Zhang, Wanqi Yang, Hua Zhang, Mingzhu Li, Shangang Jia, Jiangyong Qu, Xumin Wang
Format: Article
Language:English
Published: Elsevier 2024-01-01
Series:Current Research in Food Science
Subjects:
Convolutional neural network
Feature selection
Fish species identification
Machine learning
Multispectral imaging
Online Access:http://www.sciencedirect.com/science/article/pii/S2665927124001102
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

http://www.sciencedirect.com/science/article/pii/S2665927124001102

Similar Items