Fruit rrpeness identification with artificial neural networks - A review

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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Dettagli Bibliografici
Autori principali:	Figueredo-Ávila, Gustavo Andrés, Ballesteros-Ricaurte, Javier Antonio
Natura:	Online
Lingua:	spa
Pubblicazione:	Universidad Pedagógica y Tecnológica de Colombia 2016
Soggetti:	artificial neural networks (ANN) food inspection image processing recognition of objects. inspección de alimentos procesamiento de imágenes reconocimiento de objetos Redes Neuronales Artificiales (RNA)
Accesso online:	https://revistas.uptc.edu.co/index.php/ciencia_agricultura/article/view/4811

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