Multivariate and machine learning approaches for honey botanical origin authentication using near infrared spectroscopy (Englisch)
- Neue Suche nach: Bisutti, Vittoria
- Neue Suche nach: Merlanti, Roberta
- Neue Suche nach: Serva, Lorenzo
- Weitere Informationen zu Serva, Lorenzo:
- https://orcid.org/0000-0003-0660-9637
- Neue Suche nach: Lucatello, Lorena
- Neue Suche nach: Mirisola, Massimo
- Neue Suche nach: Balzan, Stefania
- Neue Suche nach: Tenti, Sandro
- Neue Suche nach: Fontana, Federico
- Neue Suche nach: Trevisan, Giulia
- Neue Suche nach: Montanucci, Ludovica
- Neue Suche nach: Contiero, Barbara
- Neue Suche nach: Segato, Severino
- Neue Suche nach: Capolongo, Francesca
- Neue Suche nach: Bisutti, Vittoria
- Neue Suche nach: Merlanti, Roberta
- Neue Suche nach: Serva, Lorenzo
- Weitere Informationen zu Serva, Lorenzo:
- https://orcid.org/0000-0003-0660-9637
- Neue Suche nach: Lucatello, Lorena
- Neue Suche nach: Mirisola, Massimo
- Neue Suche nach: Balzan, Stefania
- Neue Suche nach: Tenti, Sandro
- Neue Suche nach: Fontana, Federico
- Neue Suche nach: Trevisan, Giulia
- Neue Suche nach: Montanucci, Ludovica
- Neue Suche nach: Contiero, Barbara
- Neue Suche nach: Segato, Severino
- Neue Suche nach: Capolongo, Francesca
In:
Journal of Near Infrared Spectroscopy
;
27
, 1
;
65-74
;
2019
- Aufsatz (Zeitschrift) / Elektronische Ressource
-
Titel:Multivariate and machine learning approaches for honey botanical origin authentication using near infrared spectroscopy
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Beteiligte:Bisutti, Vittoria ( Autor:in ) / Merlanti, Roberta ( Autor:in ) / Serva, Lorenzo ( Autor:in ) / Lucatello, Lorena ( Autor:in ) / Mirisola, Massimo ( Autor:in ) / Balzan, Stefania ( Autor:in ) / Tenti, Sandro ( Autor:in ) / Fontana, Federico ( Autor:in ) / Trevisan, Giulia ( Autor:in ) / Montanucci, Ludovica ( Autor:in )
-
Erschienen in:Journal of Near Infrared Spectroscopy ; 27, 1 ; 65-74
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Verlag:
- Neue Suche nach: SAGE Publications
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Erscheinungsdatum:01.02.2019
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Format / Umfang:10 pages
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ISSN:
-
DOI:
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Medientyp:Aufsatz (Zeitschrift)
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Format:Elektronische Ressource
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Sprache:Englisch
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Schlagwörter:
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Datenquelle:
Inhaltsverzeichnis – Band 27, Ausgabe 1
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