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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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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

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Título: Automated systems based on machine vision for inspecting citrus fruits from the field to postharvest - A review
Autor: Cubero García, Sergio Lee, Won Suk Aleixos Borrás, María Nuria Albert Gil, Francisco Eugenio Blasco Ivars, José
Entidad UPV: Universitat Politècnica de València. Departamento de Mecanización y Tecnología Agraria - Departament de Mecanització i Tecnologia Agrària
Universitat Politècnica de València. Departamento de Ingeniería Gráfica - Departament d'Enginyeria Gràfica
Fecha difusión:
Resumen:
[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 ...[+]
Palabras clave: Citrus sorting , Quality inspection , Hyperspectral imaging , Citrus colour index , Citrus decay , Citrus Huanglongbing , Citrus postharvest
Derechos de uso: Reserva de todos los derechos
Fuente:
Food and Bioprocess Technology. (issn: 1935-5130 ) (eissn: 1935-5149 )
DOI: 10.1007/s11947-016-1767-1
Editorial:
Springer Verlag (Germany)
Versión del editor: http://doi.org/10.1007/s11947-016-1767-1
Código del Proyecto:
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)/
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)/
Agradecimientos:
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 ...[+]
Tipo: Artículo

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