Preventing illegal seafood trade using machine-learning assisted microbiome analysis
Preventing illegal seafood trade using machine-learning assisted microbiome analysis
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Publisher
England: BioMed Central Ltd
Journal title
Language
English
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Publication information
Publisher
England: BioMed Central Ltd
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Scope and Contents
Contents
Seafood is increasingly traded worldwide, but its supply chain is particularly prone to frauds. To increase consumer confidence, prevent illegal trade, and provide independent validation for eco-labelling, accurate tools for seafood traceability are needed. Here we show that the use of microbiome profiling (MP) coupled with machine learning (ML) al...
Alternative Titles
Full title
Preventing illegal seafood trade using machine-learning assisted microbiome analysis
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TN_cdi_doaj_primary_oai_doaj_org_article_c6e9574ca6c04447b5be247a58024e4d
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c6e9574ca6c04447b5be247a58024e4d
Other Identifiers
ISSN
1741-7007
E-ISSN
1741-7007
DOI
10.1186/s12915-024-02005-w
