Development of a computer vision system for the classification of olive oil samples with different harvesting years and estimation of chlorophyll and carotenoid contents: A comparison of the proposed method’s efficiency with UV-Vis spectroscopy

This study focused on the potential of UV-Vis spectroscopy and digital images and processing combined with chemometrics for classifying olive oil samples in terms of variety and harvest year and estimating pigment content. Different classification models were developed utilizing data from the RGB co...

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Veröffentlicht in:Journal of food composition and analysis 2024-05, Vol.129, p.106078, Article 106078
Hauptverfasser: Khani, Shokoofeh, Ghasemi, Jahan B., Piravi-vanak, Zahra
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Sprache:eng
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