An Intelligent Method for Predicting Pacific Oyster (Crassostrea gigas) Freshness Using Deep Learning Fused with Malondialdehyde and Total Sulfhydryl Groups Information

To achieve a non-destructive and rapid detection of oyster freshness, an intelligent method using deep learning fused with malondialdehyde (MDA) and total sulfhydryl groups (SH) information was proposed. In this study, an “MDA-SH-storage days” polynomial fitting model and oyster meat image dataset w...

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Detalles Bibliográficos
Autores principales: Lu, Tao, Yu, Fanqianhui, Han, Baokun, Guo, Jingying, Liu, Kunhua, He, Shuai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10572160/
https://www.ncbi.nlm.nih.gov/pubmed/37835268
http://dx.doi.org/10.3390/foods12193616

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10572160/
https://www.ncbi.nlm.nih.gov/pubmed/37835268
http://dx.doi.org/10.3390/foods12193616

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