Microbiological Quality Estimation of Meat Using Deep CNNs on Embedded Hardware Systems

Spectroscopic sensor imaging of food samples meta-processed by deep machine learning models can be used to assess the quality of the sample. This article presents an architecture for estimating microbial populations in meat samples using multispectral imaging and deep convolutional neural networks....

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Detalles Bibliográficos
Autores principales: Kolosov, Dimitrios, Fengou, Lemonia-Christina, Carstensen, Jens Michael, Schultz, Nette, Nychas, George-John, Mporas, Iosif
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181489/
https://www.ncbi.nlm.nih.gov/pubmed/37177437
http://dx.doi.org/10.3390/s23094233

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10181489/
https://www.ncbi.nlm.nih.gov/pubmed/37177437
http://dx.doi.org/10.3390/s23094233

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