On the quality of acoustical measures when evaluating fruits quality

In this article we show that, without any technological modification, an acoustic firmness sensor used for estimating fruits firmness, can also be used in order to discriminate between different apple varieties. A repetability and reproducibility (R&R) analysis show...

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Main Authors: Tiplica T., Verron S., Grémy-Gros C., Vandewalle P., Mehinagic E.
Format: Article
Language:English
Published: EDP Sciences 2015-01-01
Series:International Journal of Metrology and Quality Engineering
Subjects:
Online Access:https://doi.org/10.1051/ijmqe/2015007
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spelling doaj-b8f8c848d799493a96b86f5f3877d3142021-09-02T18:30:20ZengEDP SciencesInternational Journal of Metrology and Quality Engineering2107-68392107-68472015-01-016220110.1051/ijmqe/2015007ijmqe150007On the quality of acoustical measures when evaluating fruits qualityTiplica T.0Verron S.1Grémy-Gros C.2Vandewalle P.3Mehinagic E.4UNAM Université, Laboratoire Angevin de Recherche en Ingénierie de Systèmes (LARIS), University of AngersUNAM Université, Laboratoire Angevin de Recherche en Ingénierie de Systèmes (LARIS), University of AngersUNAM Université, Laboratoire Angevin de Recherche en Ingénierie de Systèmes (LARIS), University of AngersGroupe de Recherche en Agro-industrie sur les Produits et les Procédés (GRAPPE), Ecole Supérieure d’Agriculture AngersGroupe de Recherche en Agro-industrie sur les Produits et les Procédés (GRAPPE), Ecole Supérieure d’Agriculture AngersIn this article we show that, without any technological modification, an acoustic firmness sensor used for estimating fruits firmness, can also be used in order to discriminate between different apple varieties. A repetability and reproducibility (R&R) analysis shows that the device is capable to measure not just the mass and the resonance frequency of fruits but also some other key spectral characteristics as well. Thus, 18 key features were identified and used for the classification of apples belonging to 10 different varieties. The prospects of this study are interesting in the context of sorting automatically fruits.https://doi.org/10.1051/ijmqe/2015007Capability studyacoustic measurespectral analysisclassificationnon-destructive test
collection DOAJ
language English
format Article
sources DOAJ
author Tiplica T.
Verron S.
Grémy-Gros C.
Vandewalle P.
Mehinagic E.
spellingShingle Tiplica T.
Verron S.
Grémy-Gros C.
Vandewalle P.
Mehinagic E.
On the quality of acoustical measures when evaluating fruits quality
International Journal of Metrology and Quality Engineering
Capability study
acoustic measure
spectral analysis
classification
non-destructive test
author_facet Tiplica T.
Verron S.
Grémy-Gros C.
Vandewalle P.
Mehinagic E.
author_sort Tiplica T.
title On the quality of acoustical measures when evaluating fruits quality
title_short On the quality of acoustical measures when evaluating fruits quality
title_full On the quality of acoustical measures when evaluating fruits quality
title_fullStr On the quality of acoustical measures when evaluating fruits quality
title_full_unstemmed On the quality of acoustical measures when evaluating fruits quality
title_sort on the quality of acoustical measures when evaluating fruits quality
publisher EDP Sciences
series International Journal of Metrology and Quality Engineering
issn 2107-6839
2107-6847
publishDate 2015-01-01
description In this article we show that, without any technological modification, an acoustic firmness sensor used for estimating fruits firmness, can also be used in order to discriminate between different apple varieties. A repetability and reproducibility (R&R) analysis shows that the device is capable to measure not just the mass and the resonance frequency of fruits but also some other key spectral characteristics as well. Thus, 18 key features were identified and used for the classification of apples belonging to 10 different varieties. The prospects of this study are interesting in the context of sorting automatically fruits.
topic Capability study
acoustic measure
spectral analysis
classification
non-destructive test
url https://doi.org/10.1051/ijmqe/2015007
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