Region of interest selection in heterogeneous digital image: Wine age prediction by comprehensive two-dimensional gas chromatography

Region of interest selection in heterogeneous digital image: Wine age prediction by comprehensive two-dimensional gas chromatography

This study integrates genetic algorithm (GA) with partial least squares regression (PLSR) and various variable selection methods to identify impactful regions of interest (ROI) in heterogeneous 2D chromatogram images for predicting wine age. As wine quality and aroma evolve over time, transitioning...

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Bibliographic Details
Main Authors: Nemanja Koljančić, Larissa Onça, Liudmyla Khvalbota, Olga Vyviurska, Adriano A. Gomes, Ivan Špánik
Format: Article
Language:English
Published: Elsevier 2024-01-01
Series:Current Research in Food Science
Subjects:
Wine analysis
Comprehensive two-dimensional gas chromatography
Region of interest
Volatile organic compounds
Wine age
Online Access:http://www.sciencedirect.com/science/article/pii/S2665927124000510

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http://www.sciencedirect.com/science/article/pii/S2665927124000510

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