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Soft Computing to Aid Biologists Recognize Material Components in Food Products

Abstract
Data di Pubblicazione:
2022
Abstract:
An original decision support Web service is described, designed to aid biologists in identifying the animal and plant species of raw materials present in food products, based on the automatic analysis of their DNA bar-codes. This service allows to speed up a rather burden and meticulous task of biologists as well as standardizing the recognition so as to increase their confidence on the results whose objectives are assessing the quality of food products.
Tipologia CRIS:
04.02 Abstract in Atti di convegno
Keywords:
soft computing; decision support; web service
Elenco autori:
Frigerio, Luca; Rampini, Anna; Giani', Silvia; Gavazzi, Floriana; Morello, LAURA EMMA MARIA; Braglia, Luca; Bordogna, Gloria; Breviario, Diego
Autori di Ateneo:
BORDOGNA GLORIA
BRAGLIA LUCA
GAVAZZI FLORIANA
MORELLO LAURA EMMA MARIA
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/417562
Titolo del libro:
The 19th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems - Book of Abstracts
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