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dc.contributor.authorBrezmes Llecha, Jesús
dc.contributor.authorLópez Fructuoso, Mª Luisa
dc.contributor.authorLlobet Valero, Eduard
dc.contributor.authorRecasens Guinjuan, Inmaculada
dc.contributor.authorOrts Latorre, Jorge
dc.contributor.authorSaiz Laudo, Guillermo
dc.contributor.authorCorreig i Blanchar, Xavier
dc.contributor.authorVilanova Salas, Xavier
dc.date.accessioned2010-04-30T10:06:55Z
dc.date.available2010-04-30T10:06:55Z
dc.date.issued2005
dc.identifier.issn1530-437X
dc.identifier.urihttp://hdl.handle.net/10459.1/364
dc.description.abstractThe main goal of our study was to see whether an artificial olfactory system can be used as a nondestructive instrument to measure fruit maturity. In order to make an objective comparison, samples measured with our electronic nose prototype were later characterized using fruit quality techniques. The cultivars chosen for the study were peaches, nectarines, apples, and pears. With peaches and nectarines, a PCA analysis on the electronic nose measurements helped to guess optimal harvest dates that were in good agreement with the ones obtained with fruit quality techniques. A good correlation between sensor signals and some fruit quality indicators was also found. With pears, the study addressed the possibility of classifying samples regarding their ripeness state after different cold storage and shelf-life periods. A PCA analysis showed good separation between samples measured after a shelf-life period of seven days and samples with four or less days. Finally, the electronic nose monitored the shelf-life ripening of apples. A good correlation between electronic nose signals and firmness, starch index, and acidity parameters was found. These results prove that electronic noses have the potential of becoming a reliable instrument to assess fruit ripeness.ca_ES
dc.language.isoengca_ES
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)ca_ES
dc.relation.isformatofReproducció del document publicat a https://doi.org/10.1109/JSEN.2004.837495ca_ES
dc.relation.ispartofIEEE Sensors Journal, 2005, vol. 5, núm. 1, p.97-108ca_ES
dc.rights(c) Institute of Electrical and Electronics Engineers (IEEE), 2005ca_ES
dc.subjectElectronic noseca_ES
dc.subjectFruit ripenessca_ES
dc.subjectNeural networksca_ES
dc.subjectPattern recognitionca_ES
dc.subject.otherFruita -- Maduracióca_ES
dc.subject.otherSistemes electrònicsca_ES
dc.titleEvaluation of an electronic nose to assess fruit ripenessca_ES
dc.typearticleca_ES
dc.identifier.idgrec007067
dc.type.versionpublishedVersionca_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.identifier.doihttps://doi.org/10.1109/JSEN.2004.837495


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