Deep machine learning identified fish flesh using multispectral imaging-Reference-Cited by-同舟云学术

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Deep machine learning identified fish flesh using multispectral imaging

Published:2024 Issue: Volume:9 Page:100784
ISSN:2665-9271
Container-title:Current Research in Food Science
language:en
Short-container-title:Current Research in Food Science

Author:

Xun Zhuoran,Wang Xuemeng,Xue Hao,Zhang Qingzheng,Yang Wanqi,Zhang Hua,Li Mingzhu,Jia Shangang^ORCID,Qu Jiangyong,Wang Xumin

Publisher

Elsevier BV

Reference58 articles.

1. Potential of deep learning and snapshot hyperspectral imaging for classification of species in meat;Al-Sarayreh;Food Control,2020

2. Identification of meat species by using laser-induced breakdown spectroscopy;Bilge;Meat Sci.,2016

3. Development and application of a novel real‐time polymerase chain reaction assay to detect illegal trade of the European eel (Anguilla anguilla);Cardeñosa;Conservation Science and Practice,2019

4. Multivariate versus machine learning-based classification of rapid evaporative Ionisation mass spectrometry spectra towards industry based large-scale fish speciation;De Graeve;Food Chem.,2023

5. Emerging applications of machine learning in food safety;Deng;Annu. Rev. Food Sci. Technol.,2021

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