Fruit rrpeness identification with artificial neural networks - A review

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Autores

Gustavo Andrés Figueredo-Ávila
Javier Antonio Ballesteros-Ricaurte

Abstract

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.

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Licencia de Creative Commons

All papers included in the Revista Ciencia y Agricultura are published under  Creative Commons Attribution 4.0 International

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