Fruit rrpeness identification with artificial neural networks - A review

The application of Artificial Neural Networks (ANNs) and artificial vision has received more and more acceptance in the food industry. These techniques prioritize the classification, pattern recognition, and prediction of the harvests and physical changes in the products. In order to understand the...

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Main Authors:	Figueredo-Ávila, Gustavo Andrés, Ballesteros-Ricaurte, Javier Antonio
Format:	Online
Language:	spa
Published:	Universidad Pedagógica y Tecnológica de Colombia 2016
Subjects:	artificial neural networks (ANN) food inspection image processing recognition of objects. inspección de alimentos procesamiento de imágenes reconocimiento de objetos Redes Neuronales Artificiales (RNA)
Online Access:	https://revistas.uptc.edu.co/index.php/ciencia_agricultura/article/view/4811
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author	Figueredo-Ávila, Gustavo Andrés Ballesteros-Ricaurte, Javier Antonio
author_facet	Figueredo-Ávila, Gustavo Andrés Ballesteros-Ricaurte, Javier Antonio
author_sort	Figueredo-Ávila, Gustavo Andrés
collection	OJS
description	The application of Artificial Neural Networks (ANNs) and artificial vision has received more and more acceptance in the food industry. These techniques prioritize the classification, pattern recognition, and prediction of the harvests and physical changes in the products. In order to understand the impact of these techniques, this article defines the concept of neural network and describes its main characteristics and models; and, on the other hand, defines the concept of digital imagery processing and its different stages, Complementarily, this review presents an overview of fruit inspection (focused on Colombia) and its techniques, and specifies and orders by application area different works in which ANNs techniques and artificial vision have been applied in the food industry. Finally, the impact of both techniques in the classification, pattern recognition and prediction in alimentary products area is conclusively identified.
format	Online
id	oai:oai.revistas.uptc.edu.co:article-4811
institution	Revista Ciencia y Agricultura
language	spa
publishDate	2016
publisher	Universidad Pedagógica y Tecnológica de Colombia
record_format	ojs
spelling	oai:oai.revistas.uptc.edu.co:article-48112021-07-12T05:04:28Z Fruit rrpeness identification with artificial neural networks - A review Identificación del estado de madurez de las frutas con redes neuronales artificiales, una revisión Figueredo-Ávila, Gustavo Andrés Ballesteros-Ricaurte, Javier Antonio artificial neural networks (ANN) food inspection image processing recognition of objects. inspección de alimentos procesamiento de imágenes reconocimiento de objetos Redes Neuronales Artificiales (RNA) The application of Artificial Neural Networks (ANNs) and artificial vision has received more and more acceptance in the food industry. These techniques prioritize the classification, pattern recognition, and prediction of the harvests and physical changes in the products. In order to understand the impact of these techniques, this article defines the concept of neural network and describes its main characteristics and models; and, on the other hand, defines the concept of digital imagery processing and its different stages, Complementarily, this review presents an overview of fruit inspection (focused on Colombia) and its techniques, and specifies and orders by application area different works in which ANNs techniques and artificial vision have been applied in the food industry. Finally, the impact of both techniques in the classification, pattern recognition and prediction in alimentary products area is conclusively identified. La aplicación de las Redes Neuronales Artificiales (RNA) y de la visión artificial tiene cada vez más acogida en la industria de productos alimenticios, estas técnicas priorizan la clasificación, el reconocimiento de patrones y la predicción de las cosechas y de los cambios físicos de sus productos. En este artículo se define el concepto de red neuronal y se describen sus principales características y modelos, y, por otro lado, se define el concepto de procesamiento de imágenes digitales y las diferentes etapas que lo componen. Complementariamente, se exponen las generalidades de la inspección de frutas (enfocada en Colombia) y sus técnicas. Finalmente, se especifican diferentes trabajos en los que se aplicaron técnicas de RNA y visión artificial en el campo de los productos alimenticios, dispuestos por áreas de aplicación, y se identifica de manera concluyente el impacto que estas dos técnicas tienen para la clasificación, el reconocimiento de patrones y la predicción en el sector de productos alimenticios. Universidad Pedagógica y Tecnológica de Colombia 2016-01-01 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion investigation application/pdf https://revistas.uptc.edu.co/index.php/ciencia_agricultura/article/view/4811 10.19053/01228420.4811 Ciencia y Agricultura; Vol. 13 No. 1 (2016); 117-132 Ciencia y Agricultura; Vol. 13 Núm. 1 (2016); 117-132 2539-0899 spa https://revistas.uptc.edu.co/index.php/ciencia_agricultura/article/view/4811/3877 Copyright (c) 2016 CIENCIA Y AGRICULTURA
spellingShingle	artificial neural networks (ANN) food inspection image processing recognition of objects. inspección de alimentos procesamiento de imágenes reconocimiento de objetos Redes Neuronales Artificiales (RNA) Figueredo-Ávila, Gustavo Andrés Ballesteros-Ricaurte, Javier Antonio Fruit rrpeness identification with artificial neural networks - A review
title	Fruit rrpeness identification with artificial neural networks - A review
title_alt	Identificación del estado de madurez de las frutas con redes neuronales artificiales, una revisión
title_full	Fruit rrpeness identification with artificial neural networks - A review
title_fullStr	Fruit rrpeness identification with artificial neural networks - A review
title_full_unstemmed	Fruit rrpeness identification with artificial neural networks - A review
title_short	Fruit rrpeness identification with artificial neural networks - A review
title_sort	fruit rrpeness identification with artificial neural networks a review
topic	artificial neural networks (ANN) food inspection image processing recognition of objects. inspección de alimentos procesamiento de imágenes reconocimiento de objetos Redes Neuronales Artificiales (RNA)
topic_facet	artificial neural networks (ANN) food inspection image processing recognition of objects. inspección de alimentos procesamiento de imágenes reconocimiento de objetos Redes Neuronales Artificiales (RNA)
url	https://revistas.uptc.edu.co/index.php/ciencia_agricultura/article/view/4811
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