Opportunities and Constraints in Applying Artificial Neural Networks (ANNs) in Food Authentication. Honey—A Case Study

Opportunities and Constraints in Applying Artificial Neural Networks (ANNs) in Food Authentication. Honey—A Case Study

The present work aims to test the potential of the application of Artificial Neural Networks (ANNs) for food authentication. For this purpose, honey was chosen as the working matrix. The samples were originated from two countries: Romania (50) and France (53), having as floral origins: acacia, linde...

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Bibliographic Details
Main Authors: Ariana Raluca Hategan, Romulus Puscas, Gabriela Cristea, Adriana Dehelean, Francois Guyon, Arthur Jozsef Molnar, Valentin Mirel, Dana Alina Magdas
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Applied Sciences
Subjects:
ANNs
honey
geographical differentiation
recognition models
food authentication
Online Access:https://www.mdpi.com/2076-3417/11/15/6723

Internet

https://www.mdpi.com/2076-3417/11/15/6723

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