Advanced applications of hyperspectral imaging technology for food quality and safety analysis and assessment: A review — Part II: Applications

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Fast Prediction of Sugar Content in Dangshan Pear (Pyrus spp.) Using Hyperspectral Imagery Data (2018, background): “In recent years, hyperspectral imaging has become a powerful tool for quality control and safety inspection of agricultural and food products (Gowen et al. 2007; Wu and Sun 2013; Yang et al. 2011; Elmasry et al. 2009; Li and Chen 2017).”
Multispectral imaging (MSI): A promising method for the detection of minced beef adulteration with horsemeat (2017, methodology): “Hyperspectral and multispectral imaging (HSI and MSI) have been proposed as non-invasive rapid methods for monitoring quality, safety and authenticity of foods and in particular meat and meat products (Ropodi et al., 2016; Wu & Sun, 2013).”
VIS/NIR imaging application for honey floral origin determination (2017, background): “Hyperspectral images normally contain information in different bands with different resolutions [28].”
Non-Destructive Prediction of Moisture Content and Freezable Water Content of Purple-Fleshed Sweet Potato Slices during Drying Process Using Hyperspectral Imaging Technique (2017, methodology): “As spectral data extracted from the ROIs of hyperspectal imaging at different drying period contain large amount of information, multivariate analysis is required to establish simpler and easier relationship between spectral data and the quality attributes (Wu and Sun 2013b).”