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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

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Título: Assessment of grape cluster yield components based on 3D descriptors using stereo vision
Autor:
Entidad UPV: Universitat Politècnica de València. Departamento de Ingeniería de Sistemas y Automática - Departament d'Enginyeria de Sistemes i Automàtica
Fecha difusión:
Resumen:
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 ...[+]
Palabras clave: Grape quality , Cluster yield components , Vitis vinifera L , Non-invasive technologies , Stereo-vision , 3D descriptors
Derechos de uso: Reserva de todos los derechos
Fuente:
Food Control. (issn: 0956-7135 )
DOI: 10.1016/j.foodcont.2014.09.004
Editorial:
Elsevier
Versión del editor: http://dx.doi.org/10.1016/j.foodcont.2014.09.004
Descripción: 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
Agradecimientos:
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 ...[+]
Tipo: Artículo

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