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Application for the estimation of the standard citrus colour index (CCI) using image processing in mobile devices

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Application for the estimation of the standard citrus colour index (CCI) using image processing in mobile devices

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dc.contributor.author Cubero-García, Sergio es_ES
dc.contributor.author Albert Gil, Francisco Eugenio es_ES
dc.contributor.author Prats-Montalbán, José Manuel es_ES
dc.contributor.author Fernandez-Pacheco, Daniel G. es_ES
dc.contributor.author Blasco Ivars, José es_ES
dc.contributor.author Aleixos Borrás, María Nuria es_ES
dc.date.accessioned 2018-06-23T04:21:25Z
dc.date.available 2018-06-23T04:21:25Z
dc.date.issued 2018 es_ES
dc.identifier.issn 1537-5110 es_ES
dc.identifier.uri http://hdl.handle.net/10251/104543
dc.description.abstract [EN] The collection of oranges normally begins before they have reached the typical orange colour. Moreover, citrus fruits are subjected to certain degreening treatments that depend on the standard citrus colour index (CCI) at harvest. In order to facilitate the measure of this index, a free application that uses image processing techniques has been developed for Android-based mobile devices using the built-in camera of the device. The image analysis process is performed on all the images from the live input of the camera to obtain the CCI of such fruit using the open source OpenCV library. For this purpose, the RGB (red, green and blue colour coordinates) average value of a pre-selected area of the input image is calculated and then converted to HunterLab colour space to finally calculate the CCI. Several tests were carried out in the field with the fruit on the trees and under laboratory conditions with different varieties of oranges (Navel, Bonanza, Cram and Navelina) at different stages of maturity, and using different Android devices. The results were obtained for each device and condition in relation to the colour measured by a camera and compared with the performance of a panel of workers who evaluated the colour using the traditional methods. Best R-2 values obtained were 0.854 for outdoors conditions and 0.881 when measurements were done indoors. es_ES
dc.description.sponsorship This work was partially funded by INIA and FEDER funds through research project RTA2015-00078-00-00. en_EN
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Biosystems Engineering es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Mobile device es_ES
dc.subject Android es_ES
dc.subject Smartphone es_ES
dc.subject Colour analysis es_ES
dc.subject Citrus fruits es_ES
dc.subject Colour Citrus Index estimation es_ES
dc.subject In-field conditions es_ES
dc.subject.classification EXPRESION GRAFICA EN LA INGENIERIA es_ES
dc.subject.classification ESTADISTICA E INVESTIGACION OPERATIVA es_ES
dc.title Application for the estimation of the standard citrus colour index (CCI) using image processing in mobile devices es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.biosystemseng.2017.12.012 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//RTA2015-00078-00-00/ES/Sistemas no destructivos para la determinación automática de la calidad interna de frutas en línea utilizando métodos ópticos e información espectral/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Mecanización y Tecnología Agraria - Departament de Mecanització i Tecnologia Agrària es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Gráfica - Departament d'Enginyeria Gràfica es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat es_ES
dc.description.bibliographicCitation Cubero-García, S.; Albert Gil, FE.; Prats-Montalbán, JM.; Fernandez-Pacheco, DG.; Blasco Ivars, J.; Aleixos Borrás, MN. (2018). Application for the estimation of the standard citrus colour index (CCI) using image processing in mobile devices. Biosystems Engineering. 167:63-74. https://doi.org/10.1016/j.biosystemseng.2017.12.012 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1016/j.biosystemseng.2017.12.012 es_ES
dc.description.upvformatpinicio 63 es_ES
dc.description.upvformatpfin 74 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 167 es_ES
dc.relation.pasarela S\350949 es_ES
dc.contributor.funder Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria es_ES
dc.contributor.funder European Regional Development Fund
dc.contributor.funder Ministerio de Economía y Competitividad es_ES


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