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Artificial Intelligence Approaches for Fast and Portable Traceability Assessment of EVOO

EasyChair Preprint 10594

4 pagesDate: July 19, 2023

Abstract

Extra virgin olive oil (EVOO) represents one of the first-choice products made in Italy for its high quality and use in the Mediterranean diet. The aim of this study was to evaluate the effectiveness of a portable VIS–NIR open-source spectroscopic system coupled with an artificial intelligence model for the rapid determination of EVOOs traceability. Reported results for EVOO traceability, with respect to different degrees of aggregation (EU and extra-EU, Italian and foreign and Italian areas of membership), show excellent performances of artificial intelligence models and indicate a valid rapid and low-cost method of analysis for combating EVOO counterfeiting.

Keyphrases: ANN, Agriculture, IoT, Made in Italy, food, machine learning

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@booklet{EasyChair:10594,
  author    = {Luciano Ortenzi and Simone Figorilli and Simona Violino and Federico Pallottino and Corrado Costa},
  title     = {Artificial Intelligence Approaches for Fast and Portable Traceability Assessment of EVOO},
  howpublished = {EasyChair Preprint 10594},
  year      = {EasyChair, 2023}}
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