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.

Soft Computing to Aid Biologists Recognize Material Components in Food Products

Gloria Bordogna;Luca Braglia;Luca Frigerio;Floriana Gavazzi;Laura Morello;Anna Rampini;Diego Breviario
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.
2022
Inglese
S. Boa, D. Ciucci, I. Couso, J. Medina, D. Slezak
The 19th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems - Book of Abstracts
The 19th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems
5
8
979-12-210-1489-1
Sì, ma tipo non specificato
11-15 / 07 / 2022
Milano
soft computing
decision support
web service
8
info:eu-repo/semantics/conferenceObject
none
274
04 Contributo in convegno::04.02 Abstract in Atti di convegno
Gloria Bordogna; Luca Braglia; Luca Frigerio; Floriana Gavazzi; Silvia Gianì; Laura Morello; Anna Rampini;Diego Breviario
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/417562
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