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Application of 2D and 3D image technologies to characterize morphological attributes of grapevine clusters

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Application of 2D and 3D image technologies to characterize morphological attributes of grapevine clusters

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Tello, J.; Cubero, S.; Blasco Ivars, J.; Tardaguila, J.; Aleixos Borrás, MN.; Ibanez, J. (2016). Application of 2D and 3D image technologies to characterize morphological attributes of grapevine clusters. Journal of the Science of Food and Agriculture. 96:4575-4583. https://doi.org/10.1002/jsfa.7675

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/150640

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Title: Application of 2D and 3D image technologies to characterize morphological attributes of grapevine clusters
Author: Tello, Javier Cubero, Sergio BLASCO IVARS, JOSE Tardaguila, Javier Aleixos Borrás, María Nuria Ibanez, Javier
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería Gráfica - Departament d'Enginyeria Gràfica
Universitat Politècnica de València. Departamento de Mecanización y Tecnología Agraria - Departament de Mecanització i Tecnologia Agrària
Issued date:
Abstract:
[EN] BACKGROUND: Grapevine cluster morphology influences the quality and commercial value of wine and table grapes. It is routinely evaluated by subjective and inaccurate methods that do not meet the requirements set by ...[+]
Subjects: Vitis vinifera L , Cluster size , Cluster compactness , Cluster shape , Machine vision
Copyrigths: Reserva de todos los derechos
Source:
Journal of the Science of Food and Agriculture. (issn: 0022-5142 )
DOI: 10.1002/jsfa.7675
Publisher:
John Wiley & Sons
Publisher version: https://doi.org/10.1002/jsfa.7675
Project ID:
info:eu-repo/grantAgreement/MICINN//AGL2010-15694/ES/ESTUDIO GENETICO Y MORFOLOGICO DE LA COMPACIDAD DEL RACIMO DE VID MEDIANTE LA CARACTERIZACION FENOTIPICA Y EL ANALISIS GENOMICO DE LA VARIACION NATURAL/
info:eu-repo/grantAgreement/MICINN//BES-2011-047041/ES/BES-2011-047041/
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)/
Thanks:
We acknowledge R. Aguirrezabal, B. Larreina and M.I. Montemayor for their technical assistance. This work was supported by the Spanish Ministerio de Economia y Competitividad (MINECO) through project AGL2010-15694 and the ...[+]
Type: Artículo

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