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Assessment of grape cluster yield components based on 3D descriptors using stereo vision

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Assessment of grape cluster yield components based on 3D descriptors using stereo vision

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Ivorra Martínez, E.; Sánchez Salmerón, AJ.; Camarasa Baixauli, JG.; Diago, M.; Tardaguila, J. (2015). Assessment of grape cluster yield components based on 3D descriptors using stereo vision. Food Control. 50:273-282. doi:10.1016/j.foodcont.2014.09.004

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/65777

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Title: Assessment of grape cluster yield components based on 3D descriptors using stereo vision
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería de Sistemas y Automática - Departament d'Enginyeria de Sistemes i Automàtica
Issued date:
Abstract:
Wine quality depends mostly on the features of the grapes it is made from. Cluster and berry morphology are key factors in determining grape and wine quality. However, current practices for grapevine quality estimation ...[+]
Subjects: Grape quality , Cluster yield components , Vitis vinifera L , Non-invasive technologies , Stereo-vision , 3D descriptors
Copyrigths: Reserva de todos los derechos
Source:
Food Control. (issn: 0956-7135 )
DOI: 10.1016/j.foodcont.2014.09.004
Publisher:
Elsevier
Publisher version: http://dx.doi.org/10.1016/j.foodcont.2014.09.004
Description: NOTICE: this is the author’s version of a work that was accepted for publication in Food Control. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Food Control, [Volume 50, April 2015, Pages 273–282] DOI 10.1016/j.foodcont.2014.09.004
Thanks:
This work has been partially funded by the Instituto Nacional de Investigacion y Tecnologia Agraria y Alimentaria de Espana (INIA - Spanish National Institute for Agriculture and Food Research and Technology) through ...[+]
Type: Artículo

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