A Method to estimate Grape Phenolic Maturity based on Color Features

The phenolic ripeness of the grape is one of the most important parameters to determine the optimal time for harvest. A recent line of studies proposes visual seed inspection by a trained expert to determine Phenolic Maturity. In this paper a innovative method to estimate the Grape Phenolic Maturity...

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Detalles Bibliográficos
Autores principales: Avila, Felipe, Mora, Marco, Zuñiga, Alex, Oyarce, Miguel, Fredes, Claudio
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2014
Materias:
Ciencias Informáticas
seed image
phenolic maturity
Graphical environments
neural network
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/42325
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-42325
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
seed image
phenolic maturity
Graphical environments
neural network
spellingShingle Ciencias Informáticas
seed image
phenolic maturity
Graphical environments
neural network
Avila, Felipe
Mora, Marco
Zuñiga, Alex
Oyarce, Miguel
Fredes, Claudio
A Method to estimate Grape Phenolic Maturity based on Color Features
topic_facet Ciencias Informáticas
seed image
phenolic maturity
Graphical environments
neural network
description The phenolic ripeness of the grape is one of the most important parameters to determine the optimal time for harvest. A recent line of studies proposes visual seed inspection by a trained expert to determine Phenolic Maturity. In this paper a innovative method to estimate the Grape Phenolic Maturity based in digital images is presented. Three classes of seed are de ned (immature, mature and overmature) by the expert (enologist) involved in the research. A robust method of segmentation was proposed. The classi cation of seeds according to their degree of maturity was performed by a Arti cial Neural Network. Descriptor used by the Neural Networks corresponds to a histogram of the occur- rence of colors in a color scale. The method as a whole proved to be simple and e ffective in the classi ffication of seeds. Therefore, it is possible to visualize the implementation of the method in real conditions due the high performance obtained.
format Objeto de conferencia
Objeto de conferencia
author Avila, Felipe
Mora, Marco
Zuñiga, Alex
Oyarce, Miguel
Fredes, Claudio
author_facet Avila, Felipe
Mora, Marco
Zuñiga, Alex
Oyarce, Miguel
Fredes, Claudio
author_sort Avila, Felipe
title A Method to estimate Grape Phenolic Maturity based on Color Features
title_short A Method to estimate Grape Phenolic Maturity based on Color Features
title_full A Method to estimate Grape Phenolic Maturity based on Color Features
title_fullStr A Method to estimate Grape Phenolic Maturity based on Color Features
title_full_unstemmed A Method to estimate Grape Phenolic Maturity based on Color Features
title_sort method to estimate grape phenolic maturity based on color features
publishDate 2014
url http://sedici.unlp.edu.ar/handle/10915/42325
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