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Modeling the influence of production and storage conditions on the blueberry quality

2018Journal article Open access
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dc.contributor.authorGuiné, Raquel
dc.contributor.authorMatos, Susana
dc.contributor.authorGonçalves, Christophe
dc.contributor.authorCosta, Daniela Vasconcelos Teixeira da
dc.contributor.authorMendes, Mateus
dc.contributor.authorGonçalves, Fernando
dc.date.accessioned2018-11-06T11:26:41Z
dc.date.available2018-11-06T11:26:41Z
dc.date.issued2018
dc.description.abstractBlueberry is a widely consumed fruit with major economic value, appreciated due to its characteristic flavor as well as health benefits. The present work aimed to evaluate the effect of several production factors and storage conditions on some chemical and physical properties of blueberries. Some physical and chemical characteristics (moisture, acidity, sugars, color and texture) of blueberries from three cultivars, originating from five different locations and conventional or organic farming, were evaluated. The variation of the properties along time was also evaluated for storage at room temperature and refrigeration. Moreover, artificial neural network models were developed to estimate the physical-chemical characteristics of the blueberries, as influenced by the production and conservation factors considered. The results showed that all the characteristics considered varied according to cultivar, place of cultivation and production mode. The storage conditions also induced changes in the chemical components as well as in color and texture. The changes were dependent on type and duration of storage, cultivar and production mode. Weight analysis of the artificial neural network models highlighted the patterns and trends observed experimentally.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationGuiné, R.P.F., Matos, S., Gonçalves, C., Gonçalves, F., Costa, D.V.T.A., & Mendes, M. (2018). Modeling the influence of production and storage conditions on the blueberry quality. Agricultural Engineering International, 20(2), 226-238.pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.19/5272
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherCIGRpt_PT
dc.relation.publisherversionhttp://www.cigrjournal.org/index.php/Ejounral/article/view/4763pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-sa/4.0/pt_PT
dc.subjectArtificial neural networkpt_PT
dc.subjectConservationpt_PT
dc.subjectProduction modept_PT
dc.subjectTexturept_PT
dc.titleModeling the influence of production and storage conditions on the blueberry qualitypt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage238pt_PT
oaire.citation.issue2pt_PT
oaire.citation.startPage226pt_PT
oaire.citation.titleAgricultural Engineering Internationalpt_PT
oaire.citation.volume20pt_PT
person.familyNamede Pinho Ferreira Guiné
person.givenNameRaquel
person.identifierhttps://scholar.google.pt/citations?user=abFDovIAAAAJ&hl=pt-PT
person.identifier.ciencia-id8B13-5492-0F23
person.identifier.orcid0000-0003-0595-6805
person.identifier.scopus-author-id6603138390
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication59580952-77cc-4e4e-ae90-527a8b994f9f
relation.isAuthorOfPublication.latestForDiscovery59580952-77cc-4e4e-ae90-527a8b994f9f

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