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Automated systems based on machine vision for inspecting citrus fruits from the field to postharvest - A review

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Automated systems based on machine vision for inspecting citrus fruits from the field to postharvest - A review

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dc.contributor.author Cubero García, Sergio es_ES
dc.contributor.author Lee, Won Suk es_ES
dc.contributor.author Aleixos Borrás, María Nuria es_ES
dc.contributor.author Albert Gil, Francisco Eugenio es_ES
dc.contributor.author Blasco Ivars, José es_ES
dc.date.accessioned 2017-06-22T09:09:05Z
dc.date.available 2017-06-22T09:09:05Z
dc.date.issued 2016-10
dc.identifier.issn 1935-5130
dc.identifier.uri http://hdl.handle.net/10251/83423
dc.description.abstract [EN] Computer vision systems are becoming a scientific but also a commercial tool for food quality assessment. In the field, these systems can be used to predict yield, as well as for robotic harvesting or the early detection of potentially dangerous diseases. In postharvest handling, it is mostly used for the automated inspection of the external quality of the fruits and for sorting them into commercial categories at very high speed. More recently, the use of hyperspectral imaging is allowing not only the detection of defects in the skin of the fruits but also their association to certain diseases of particular importance. In the research works that use this technology, wavelengths that play a significant role in detecting some of these dangerous diseases are found, leading to the development of multispectral imaging systems that can be used in industry. This article reviews recent works that use colour and non-standard computer vision systems for the automated inspection of citrus. It explains the different technologies available to acquire the images and their use for the non-destructive inspection of internal and external features of these fruits. Particular attention is paid to inspection for the early detection of some dangerous diseases like citrus canker, black spot, decay or citrus Huanglongbing. es_ES
dc.description.sponsorship This work was supported by the Instituto Nacional de Investigacion y Tecnologia Agraria y Alimentaria (INIA) through projects RTA2012-00062-C04-01 and RTA2012-00062-C04-03 with the support of European FEDER funds. The authors would like to thank and acknowledge the contributions that were made by all the students, postdocs, technicians and visiting scholars in the Precision Agriculture Laboratory at the University of Florida and the Computer Vision Laboratory at the Agricultural Engineering Centre of IVIA.
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 Citrus sorting es_ES
dc.subject Quality inspection es_ES
dc.subject Hyperspectral imaging es_ES
dc.subject Citrus colour index es_ES
dc.subject Citrus decay es_ES
dc.subject Citrus Huanglongbing es_ES
dc.subject Citrus postharvest es_ES
dc.subject.classification EXPRESION GRAFICA EN LA INGENIERIA es_ES
dc.title Automated systems based on machine vision for inspecting citrus fruits from the field to postharvest - A review es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1007/s11947-016-1767-1
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//RTA2012-00062-C04-01/ES/Nuevas técnicas de inspección basadas en espectrometría para la estimación de propiedades y determinación automática de la calidad interna y sanidad de productos agroalimentarios aplicadas a líneas de inspección y manipulación (SPEC-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.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.description.bibliographicCitation Cubero García, S.; Lee, WS.; Aleixos Borrás, MN.; Albert Gil, FE.; Blasco Ivars, J. (2016). Automated systems based on machine vision for inspecting citrus fruits from the field to postharvest - A review. Food and Bioprocess Technology. 9(10):1623-1639. https://doi.org/10.1007/s11947-016-1767-1 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://doi.org/10.1007/s11947-016-1767-1 es_ES
dc.description.upvformatpinicio 1623 es_ES
dc.description.upvformatpfin 1639 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 9 es_ES
dc.description.issue 10 es_ES
dc.relation.senia 320367 es_ES
dc.identifier.eissn 1935-5149
dc.contributor.funder Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria
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