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A Study on Origin Traceability of White Tea (White Peony) Based on Near-Infrared Spectroscopy and Ma...

A Study on Origin Traceability of White Tea (White Peony) Based on Near-Infrared Spectroscopy and Ma...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_45287c8affa544dab2f0624eaa1a8999

A Study on Origin Traceability of White Tea (White Peony) Based on Near-Infrared Spectroscopy and Machine Learning Algorithms

About this item

Full title

A Study on Origin Traceability of White Tea (White Peony) Based on Near-Infrared Spectroscopy and Machine Learning Algorithms

Publisher

Switzerland: MDPI AG

Journal title

Foods, 2023-01, Vol.12 (3), p.499

Language

English

Formats

Publication information

Publisher

Switzerland: MDPI AG

More information

Scope and Contents

Contents

Identifying the geographical origins of white tea is of significance because the quality and price of white tea from different production areas vary largely from different growing environment and climatic conditions. In this study, we used near-infrared spectroscopy (NIRS) with white tea (n = 579) to produce models to discriminate these origins und...

Alternative Titles

Full title

A Study on Origin Traceability of White Tea (White Peony) Based on Near-Infrared Spectroscopy and Machine Learning Algorithms

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_45287c8affa544dab2f0624eaa1a8999

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_45287c8affa544dab2f0624eaa1a8999

Other Identifiers

ISSN

2304-8158

E-ISSN

2304-8158

DOI

10.3390/foods12030499

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