ARES - AI for fluoREscence Spectroscopy in oil
Description
Extra virgin olive oil is very beneficial to our health due to its anti-inflammatory and antioxidant activity. Only a fifth of the extra virgin olive oils sold in Switzerland met the quality's requirements. This project aims to investigate a new method for the analysis of extra virgin olive oils through optical non-invasive and contactless measuring techniques combined with artificial intelligence. The measuring principle is fluorescence spectroscopy fingerprinting, which offers a detailed insight into substance's chemical composition. However, olive oil's fluorescent fingerprint contains a large amount of "encoded" chemical information that is very hard to extract. Artificial intelligence algorithms can be the solution to "decode" this information.
Key Data
Projectlead
Project team
Project partners
Scuola universitaria professionale della Svizzera italiana SUPSI / Dalle Molle Institute for Artificial Intelligence IDSIA
Project status
completed, 04/2021 - 12/2021
Funding partner
Hasler Stiftung
Publications
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Shedding light on the ageing of extra virgin olive oil : probing the impact of temperature with fluorescence spectroscopy and machine learning techniques
2024 Venturini, Francesca; Fluri, Silvan; Mejari, Manas; Baumgartner, Michael; Piga, Dario; Michelucci, Umberto
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Machine learning-enhanced fluorescence spectroscopy for the quality assessment of extra virgin olive oil during ageing
2024 Venturini, Francesca; Fluri, Silvan; Mejari, Manas; Baumgartner, Michael; Piga, Dario; Michelucci, Umberto
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Machine learning-enhanced fluorescence spectroscopy for the quality assessment of extra virgin olive oil during ageing
2024 Venturini, Francesca; Fluri, Silvan; Mejari, Manas; Baumgartner, Michael; Piga, Dario; Michelucci, Umberto
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Deep learning domain adaptation to understand physico-chemical processes from fluorescence spectroscopy small datasets and application to the oxidation of olive oil
2024 Michelucci, Umberto; Venturini, Francesca
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Machine learning feature extraction for predicting the ageing of olive oil
2024 Gucciardi, Arnaud; El Ghazouali, Safouane; Michelucci, Umberto; Venturini, Francesca
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Dataset of fluorescence EEM and UV spectroscopy data of olive oils during ageing
2023 Venturini, Francesca; Fluri, Silvan; Baumgartner, Michael
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Explainable AI for the olive oil industry
2023 Schmid, Christian; Laurenzi, Emanuele; Michelucci, Umberto; Venturini, Francesca
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Deep learning super resolution for high-speed excitation emission matrix measurements
2023 Michelucci, Umberto; Fluri, Silvan; Baumgartner, Michael; Venturini, Francesca
Technikumstrasse 9
8400 Winterthur