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Non-Destructive Assessment of Mango Firmness and Ripeness Using a Robotic Gripper

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Non-Destructive Assessment of Mango Firmness and Ripeness Using a Robotic Gripper

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dc.contributor.author Blanes Campos, Carlos es_ES
dc.contributor.author Cortés López, Victoria es_ES
dc.contributor.author Ortiz Sánchez, María Coral es_ES
dc.contributor.author Mellado Arteche, Martín es_ES
dc.contributor.author Talens Oliag, Pau es_ES
dc.date.accessioned 2016-04-27T11:56:07Z
dc.date.available 2016-04-27T11:56:07Z
dc.date.issued 2015-09
dc.identifier.issn 1935-5130
dc.identifier.uri http://hdl.handle.net/10251/63047
dc.description The final publication is available at link.springer.com es_ES
dc.description.abstract [EN] The objective of the study was to evaluate the use of a robot gripper in the assessment of mango (cv. BOsteen^) firmness as well as to establish relationships between the nondestructive robot gripper measurements with embedded accelerometers in the fingers and the ripeness of mango fruit. Intact mango fruit was handled and manipulated by the robot gripper, and the major physicochemical properties related with their ripening index were analyzed. Partial least square regression models (PLS) were developed to explain these properties according to the variables extracted from the accelerometer signals. Correlation coefficients of 0.925, 0.892, 0.893, and 0.937 with a root-mean-square error of prediction of 2.524 N/ mm, 1.579 °Brix, 3.187, and 0.517, were obtained for the prediction of fruit mechanical firmness, total soluble solids, flesh luminosity, and ripening index, respectively. This research showed that it is possible to assess mango firmness and ripeness during handling with a robot gripper. es_ES
dc.description.sponsorship The authors thanks MANI-DACSA projects (ref. RTA2012-00062-C04-02 and RTA2012-00062-C04-03), Spanish Government (Ministerio de Economia y Competitividad), AICO/2015/122 project, Conselleria de Educacion, Cultura y Deporte, Generalitat Valenciana and PAID-05-11-2745 project, Vicerectorat d'Investigacio, Universitat Politecnica de Valencia. Victoria Cortes thanks Spanish Ministerio de Educacion, Cultura y Deporte for a FPU grant (FPU13/04202). en_EN
dc.language Inglés es_ES
dc.publisher Springer Verlag (Germany) es_ES
dc.relation.ispartof Food and Bioprocess Technology es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Robot gripper es_ES
dc.subject Non-destructive es_ES
dc.subject Firmness es_ES
dc.subject Ripening index es_ES
dc.subject Mango es_ES
dc.subject.classification INGENIERIA AGROFORESTAL es_ES
dc.title Non-Destructive Assessment of Mango Firmness and Ripeness Using a Robotic Gripper es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1007/s11947-015-1548-2
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//RTA2012-00062-C04-02/ES/Nuevas técnicas de manipulación usando sensorización integrada para la estimación de propiedades y determinación automática de la calidad y sanidad de la producción agroalimentaria en líneas de inspección y manipulación (MANI-DACSA)/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//RTA2012-00062-C04-03/ES/Nuevas técnicas de inspección basadas en visión por computador multiespectral para la estimación de propiedades y determinación automática de la calidad y sanidad de la producción agroalimentaria en líneas de inspección y manipulación (VIS-DACSA)/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GVA//AICO%2F2015%2F122/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/UPV//PAID-05-11-2745/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MECD//FPU13%2F04202/ES/FPU13%2F04202/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Rural y Agroalimentaria - Departament d'Enginyeria Rural i Agroalimentària es_ES
dc.description.bibliographicCitation Blanes Campos, C.; Cortés López, V.; Ortiz Sánchez, MC.; Mellado Arteche, M.; Talens Oliag, P. (2015). Non-Destructive Assessment of Mango Firmness and Ripeness Using a Robotic Gripper. Food and Bioprocess Technology. 8(9):1914-1924. https://doi.org/10.1007/s11947-015-1548-2 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1007/s11947-015-1548-2 es_ES
dc.description.upvformatpinicio 1914 es_ES
dc.description.upvformatpfin 1924 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 8 es_ES
dc.description.issue 9 es_ES
dc.relation.senia 292748 es_ES
dc.identifier.eissn 1935-5149
dc.contributor.funder Ministerio de Educación, Cultura y Deporte es_ES
dc.contributor.funder Generalitat Valenciana es_ES
dc.contributor.funder Universitat Politècnica de València es_ES
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