Artificial Neural Network-based Model Used to Determine Citric Maturity Level

One of the most important tasks in price determination of a product is the classification for its quality, color, maturity, etc. Usually vegetables and fruits are classified manually. This process is complex and usually some errors in the product categorization occur due to the subjectivity of perso...

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Autores principales: Sampallo, Guillermo M., Karanik, Marcelo J., Gramajo, Sergio D., González Thomas, Arturo, Varone, Leandro
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2010
Materias:
Ciencias Informáticas
Computer Vision Systems
Artificial Neural Networks
Multi Layer Perceptron
image classification
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/153125
http://39jaiio.sadio.org.ar/sites/default/files/39jaiio-cai-15.pdf
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-153125
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spelling I19-R120-10915-1531252023-05-17T20:05:21Z http://sedici.unlp.edu.ar/handle/10915/153125 http://39jaiio.sadio.org.ar/sites/default/files/39jaiio-cai-15.pdf issn:1852-4850 Artificial Neural Network-based Model Used to Determine Citric Maturity Level Sampallo, Guillermo M. Karanik, Marcelo J. Gramajo, Sergio D. González Thomas, Arturo Varone, Leandro 2010 2010 2023-05-17T14:35:37Z en Ciencias Informáticas Computer Vision Systems Artificial Neural Networks Multi Layer Perceptron image classification One of the most important tasks in price determination of a product is the classification for its quality, color, maturity, etc. Usually vegetables and fruits are classified manually. This process is complex and usually some errors in the product categorization occur due to the subjectivity of persons with limited skills and long hours’ work. A possible alternative is the automatic selection of products using classifiers based on computer vision systems. These systems capture the image of the product and determine its class in real time. In this paper a model capable of establishing the level of maturity of oranges, using artificial neural networks, is proposed. Sociedad Argentina de Informática e Investigación Operativa Objeto de conferencia Objeto de conferencia http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf 791-798
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Computer Vision Systems
Artificial Neural Networks
Multi Layer Perceptron
image classification
spellingShingle Ciencias Informáticas
Computer Vision Systems
Artificial Neural Networks
Multi Layer Perceptron
image classification
Sampallo, Guillermo M.
Karanik, Marcelo J.
Gramajo, Sergio D.
González Thomas, Arturo
Varone, Leandro
Artificial Neural Network-based Model Used to Determine Citric Maturity Level
topic_facet Ciencias Informáticas
Computer Vision Systems
Artificial Neural Networks
Multi Layer Perceptron
image classification
description One of the most important tasks in price determination of a product is the classification for its quality, color, maturity, etc. Usually vegetables and fruits are classified manually. This process is complex and usually some errors in the product categorization occur due to the subjectivity of persons with limited skills and long hours’ work. A possible alternative is the automatic selection of products using classifiers based on computer vision systems. These systems capture the image of the product and determine its class in real time. In this paper a model capable of establishing the level of maturity of oranges, using artificial neural networks, is proposed.
format Objeto de conferencia
Objeto de conferencia
author Sampallo, Guillermo M.
Karanik, Marcelo J.
Gramajo, Sergio D.
González Thomas, Arturo
Varone, Leandro
author_facet Sampallo, Guillermo M.
Karanik, Marcelo J.
Gramajo, Sergio D.
González Thomas, Arturo
Varone, Leandro
author_sort Sampallo, Guillermo M.
title Artificial Neural Network-based Model Used to Determine Citric Maturity Level
title_short Artificial Neural Network-based Model Used to Determine Citric Maturity Level
title_full Artificial Neural Network-based Model Used to Determine Citric Maturity Level
title_fullStr Artificial Neural Network-based Model Used to Determine Citric Maturity Level
title_full_unstemmed Artificial Neural Network-based Model Used to Determine Citric Maturity Level
title_sort artificial neural network-based model used to determine citric maturity level
publishDate 2010
url http://sedici.unlp.edu.ar/handle/10915/153125
http://39jaiio.sadio.org.ar/sites/default/files/39jaiio-cai-15.pdf
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