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dc.contributor.authorMunera, Sandra
dc.contributor.authorBlasco, José
dc.contributor.authorAmigo, Jose M.
dc.contributor.authorCubero, Sergio
dc.contributor.authorTalens, Pau
dc.contributor.authorAleixos, Nuria
dc.date.accessioned2019-12-17T11:01:56Z
dc.date.available2019-12-17T11:01:56Z
dc.date.issued2019
dc.identifier.citationMunera, S., Blasco, J., Amigo, J. M., Cubero, S., Talens, P., & Aleixos, N. (2019). Use of hyperspectral transmittance imaging to evaluate the internal quality of nectarines. Biosystems Engineering, 182, 54-64.
dc.identifier.issn1537-5110
dc.identifier.urihttp://hdl.handle.net/20.500.11939/6287
dc.description.abstractThe internal quality of nectarines (Prunus persica L. Batsch var. nucipersica) cv. ‘Big Top’ (yellow flesh) and ‘Magique’ (white flesh) has been inspected using hyperspectral transmittance imaging. Hyperspectral images of intact fruits were acquired in the spectral range of 630–900 nm using transmittance mode during their ripening under controlled conditions. The detection of split pit disorder and classification according to an established firmness threshold were performed using PLS-DA. The prediction of the Internal Quality Index (IQI) related to ripeness was performed using PLS-R. The most important variables were selected using interval-PLS. As a result, an accuracy of 94.7% was obtained in the detection of fruits with split pit of the ‘Big Top’ cultivar. Accuracies of 95.7% and 94.6% were achieved in the classification of the ‘Big Top’ and ‘Magique’ cultivars, respectively, according to the firmness threshold. The internal quality was predicted through the IQI with R2 values of 0.88 and 0.86 for the two cultivars. The results obtained indicate the great potential of hyperspectral transmittance imaging for the assessment of the internal quality of intact nectarines.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.subjectSplit pites
dc.subjectRipenesses
dc.subjectInternal qualityes
dc.subjectHyperspectral imaginges
dc.titleUse of hyperspectral transmittance imaging to evaluate the internal quality of nectarineses
dc.typearticlees
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.biosystemseng.2019.04.001es
dc.identifier.urlhttps://www.sciencedirect.com/science/article/pii/S1537511018312959?via%3Dihubes
dc.journal.issueNumber182es
dc.journal.titleBiosystems Engineeringes
dc.page.final64es
dc.page.initial54es
dc.source.typeelectronicoes
dc.subject.agrisQ01 Food science and technologyes
dc.subject.agrisU10 Mathematical and statistical methodses
dc.subject.agrovocComputer visiones
dc.subject.agrovocStone fruitses
dc.type.hasVersionacceptedVersion


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