Show simple item record

dc.contributor.authorGarcía-Navarrete, Oscar Leonardo
dc.contributor.authorCubero, Sergio
dc.contributor.authorPrats-Montalbán, José Manuel
dc.date.accessioned2020-06-04T15:47:46Z
dc.date.available2020-06-04T15:47:46Z
dc.date.issued2018es
dc.identifier.citationNavarrete, O. L. G., García, S. C., & Montalbán, J. M. P. (2019). Identification of mechanical damage in the'Fuji'apple cv. using artificial hyperspectral vision. DYNA, 86(210), 224-232.es
dc.identifier.issn2346-2183
dc.identifier.issn0012-7353
dc.identifier.urihttp://hdl.handle.net/20.500.11939/6501
dc.description.abstractOne problem in the post-harvest phase of apples is the mechanical impact damage. Its identification prevents quality issues during storage. The objective was to identify the wavelengths at which damage is detected early in apples of the 'Fuji' cultivar. Damage was simulated with a controlled stroke and taking hyperspectral images from 400 to 1700 nm. Three experiments were carried out at different temperatures (4 and 20 ° C) and with varying sampling times. It was found that the NIR zone ranging between 1050 and 1100 nm allows to classify healthy and bruised zones by means of a discriminant analysis by partial least squares (PLS-DA). Additionally, the evolution of the damage over time was not significant for the classification of the pixels (healthy and bruised classes), since bumps were detected in all three experiments from the first time.es
dc.language.isoenes
dc.publisherFacultad de Minas, Universidad Nacional de Colombiaes
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectHyperspectral imageses
dc.subjectPLS-DAes
dc.subjectNIRes
dc.titleIdentification of mechanical damage in the 'Fuji' apple cv. using artificial hyperspectral visiones
dc.typearticlees
dc.authorAddressInstituto Valenciano de Investigaciones Agrarias, Carretera CV-315, Km. 10,7 - 46113 Moncada (València)es
dc.entidadIVIACentro de Agroingenieríaes
dc.identifier.doi10.15446/dyna.v86n210.78605es
dc.identifier.urlhttps://revistas.unal.edu.co/index.php/dyna/article/view/78605es
dc.journal.issueNumber210es
dc.journal.titleDYNAes
dc.journal.volumeNumber86es
dc.page.final232es
dc.page.initial224es
dc.source.typeelectronicoes
dc.subject.agrisN01 Agricultural engineeringes
dc.subject.agrovocSpectroscopyes
dc.type.hasVersionpublishedVersiones


Files in this item

This item appears in the following Collection(s)

Show simple item record

Atribución-NoComercial-SinDerivadas 3.0 España
Except where otherwise noted, this item's license is described as Atribución-NoComercial-SinDerivadas 3.0 España