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dc.contributor.authorMunera, Sandra
dc.contributor.authorHernández, Francisca
dc.contributor.authorAleixos, Nuria
dc.contributor.authorCubero, Sergio
dc.contributor.authorBlasco, José
dc.date.accessioned2019-12-13T08:23:16Z
dc.date.available2019-12-13T08:23:16Z
dc.date.issued2019
dc.identifier.citationMunera, S., Hernández, F., Aleixos, N., Cubero, S., & Blasco, J. (2019). Maturity monitoring of intact fruit and arils of pomegranate cv.‘Mollar de Elche’using machine vision and chemometrics. Postharvest Biology and Technology, 156, 110936.
dc.identifier.issn0925-5214
dc.identifier.urihttp://hdl.handle.net/20.500.11939/6283
dc.description.abstractPomegranate fruit cv. ‘Mollar de Elche’ were collected at seven different harvest times. Colour and hyperspectral images of the intact fruit and arils were acquired at each harvest. Physicochemical properties such as total soluble solids, titratable acidity, maturity index, BrimA, internal colour, total phenolic compounds content and antioxidant activity were measured in the juice of each fruit. Relationships between colour (L*, a*, b*) and spectral (720–1050 nm) data obtained from the images of the intact fruit and arils were investigated physicochemical properties using partial least square regression models. Discrimination of the different maturity stages also was carried out using partial least square discriminant analysis models. Similar results were obtained in the prediction of the physicochemical properties using the colour and hyperspectral images of the intact fruit. However, the predictions achieved for the information about the arils were higher using hyperspectral imaging. In the discrimination of maturity stage, the highest accuracies were obtained using hyperspectral imaging, where 95% of intact fruit and 100% of arils where correctly classified. These results indicate the great potential of machine vision techniques, especially hyperspectral imaging, for monitoring the quality of intact ‘Mollar de Elche’ pomegranate fruit and arils.es
dc.language.isoenes
dc.publisherElsevieres
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectRGBes
dc.titleMaturity monitoring of intact fruit and arils of pomegranate cv. 'Mollar de Elche' using machine vision and chemometricses
dc.authorAddressCentro de Agroingeniería, Instituto Valenciano de Investigaciones Agrarias (IVIA), Carretera CV-315, Km 10'7, 46113 Moncada, España.es
dc.entidadIVIACentro de Agroingenieríaes
dc.identifier.doi10.1016/j.postharvbio.2019.110936es
dc.identifier.urlhttps://www.sciencedirect.com/science/article/abs/pii/S0925521419303904es
dc.journal.issueNumber110936es
dc.journal.titlePostharvest Biology and Technologyes
dc.journal.volumeNumber156es
dc.page.final12es
dc.page.initial1es
dc.subject.agrisQ02 Food processing and preservationes
dc.subject.agrovocPomegranateses
dc.subject.agrovocImage analysises
dc.subject.agrovocFood qualityes
dc.subject.agrovocPunica granatumes
dc.subject.agrovocNIR spectroscopyes
dc.type.hasVersionacceptedVersion


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