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Advances in Computer Vision and Spectroscopy Techniques for Non-Destructive Quality Assessment of Ci...

Advances in Computer Vision and Spectroscopy Techniques for Non-Destructive Quality Assessment of Ci...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a4769ed65a664a54af10ff14b72e0423

Advances in Computer Vision and Spectroscopy Techniques for Non-Destructive Quality Assessment of Citrus Fruits: A Comprehensive Review

About this item

Full title

Advances in Computer Vision and Spectroscopy Techniques for Non-Destructive Quality Assessment of Citrus Fruits: A Comprehensive Review

Publisher

Switzerland: MDPI AG

Journal title

Foods, 2025-01, Vol.14 (3), p.386

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

fruits, classified under the Rutaceae family and
genus, are valued for their high nutritional content, attributed to their rich array of natural bioactive compounds. To ensure both quality and nutritional value, precise non-destructive testing methods are crucial. Among these, computer vision and spectroscopy technologies have emerged as key too...

Alternative Titles

Full title

Advances in Computer Vision and Spectroscopy Techniques for Non-Destructive Quality Assessment of Citrus Fruits: A Comprehensive Review

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_a4769ed65a664a54af10ff14b72e0423

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a4769ed65a664a54af10ff14b72e0423

Other Identifiers

ISSN

2304-8158

E-ISSN

2304-8158

DOI

10.3390/foods14030386

How to access this item