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Using Machine Learning Approaches for Food Quality Detection

Using Machine Learning Approaches for Food Quality Detection

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2761780106

Using Machine Learning Approaches for Food Quality Detection

About this item

Full title

Using Machine Learning Approaches for Food Quality Detection

Publisher

New York: Hindawi

Journal title

Mathematical problems in engineering, 2022-12, Vol.2022, p.1-9

Language

English

Formats

Publication information

Publisher

New York: Hindawi

More information

Scope and Contents

Contents

Food quality detection is an important method for ensuring food safety. Efficient quality detection methods can improve the efficiency of food circulation and reduce storage and labor costs. Traditional methods use instrumentation, testing reagents, or manual labor. These methods take a long time to detect, are time-consuming and labor-intensive, a...

Alternative Titles

Full title

Using Machine Learning Approaches for Food Quality Detection

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2761780106

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2761780106

Other Identifiers

ISSN

1024-123X

E-ISSN

1563-5147

DOI

10.1155/2022/6852022

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