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http://hdl.handle.net/2067/50160| Title: | Artificial Intelligence approaches for fast and portable traceability assessment of EVOO | Authors: | Ortenzi, Luciano Figorilli, Simone Violino, Simona Pallottino, Federico Costa, Corrado |
Issue Date: | 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. |
URI: | http://hdl.handle.net/2067/50160 | ISBN: | 979-8-3503-4647-3 | DOI: | 10.1109/COINS57856.2023.10189267 | Rights: | Attribution 4.0 International |
| Appears in Collections: | D1. Contributo in Atti di convegno |
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| EasyChair-Preprint-10594 (2).pdf | 380.32 kB | Adobe PDF | Request a copy |
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