Artículo
Ripeness estimation of grape berries and seeds by image analysis
Autor/es | Rodríguez Pulido, Francisco José
![]() ![]() ![]() ![]() ![]() ![]() ![]() Gómez Robledo, Luis Melgosa, Manuel Gordillo Arrobas, Belén ![]() ![]() ![]() ![]() ![]() ![]() González-Miret Martín, María Lourdes ![]() ![]() ![]() ![]() ![]() ![]() ![]() Heredia Mira, Francisco José ![]() ![]() ![]() ![]() ![]() ![]() ![]() |
Departamento | Universidad de Sevilla. Departamento de Nutrición y Bromatología, Toxicología y Medicina Legal |
Fecha de publicación | 2012-03 |
Fecha de depósito | 2024-03-11 |
Publicado en |
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Resumen | Digital imaging has become a powerful tool for the characterization and quality control of foodstuff. Because of the need to automate processes, faster tools are needed and Computer Vision is a good alternative to chemical ... Digital imaging has become a powerful tool for the characterization and quality control of foodstuff. Because of the need to automate processes, faster tools are needed and Computer Vision is a good alternative to chemical analysis of many products in quality control. Appearance of grape seeds and grape berries change during the ripeness. These changes are closely related to the chemical composition, especially phenolics, which are very important compounds due to their implications on the intensity and stability of red wine colour. In this study, a complete characterization of grape seeds and grape berries by digital image analysis is described. The size of grapes and the veraison has been determined by image analysis and it has been also established an objective Browning Index of seeds. Morphological differences between varieties were studied by applying discriminant analysis models which allowed us to classify the grape seeds with high accuracy. |
Agencias financiadoras | Ministerio de Ciencia e Innovación (MICIN). España |
Identificador del proyecto | AGL2008-05569-C02-02
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Cita | Rodríguez Pulido, F.J., Gómez Robledo, L., Melgosa, M., Gordillo Arrobas, B., González-Miret Martín, M.L. y Heredia Mira, F.J. (2012). Ripeness estimation of grape berries and seeds by image analysis. Computers and Electronics in Agriculture, 82, 128-133. https://doi.org/10.1016/j.compag.2012.01.004. |
Ficheros | Tamaño | Formato | Ver | Descripción |
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Ripeness estimation_C.pdf | 1.767Mb | ![]() | Ver/ | Versión aceptada |