Machine Learning Algorithms in Corroboration with Isotope and Elemental Profile—An Efficient Tool for Honey Geographical Origin Assessment

The application of artificial intelligence for the development of recognition models for food and beverages differentiation has benefited from increasing attention in recent years. For this scope, different machine learning (ML) algorithms were used in order to find the most suitable model for a cer...

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Bibliographic Details
Main Authors: Ariana Raluca Hategan, Dana Alina Magdas, Romulus Puscas, Adriana Dehelean, Gabriela Cristea, Bianca Simionescu
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/12/21/10894