Calibrated color measurements of agricultural foods using image analysis

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Colour Measurement and Analysis in Fresh and Processed Foods: A Review (2012, background): “Digital camera PowerShot A70 (Canon, USA) Mendoza et al. (2006)”
Prediction of color and moisture content for vegetable soybean during drying using hyperspectral imaging technology (2014, methodology): “Among these approaches, machine vision and near-infrared spectroscopy are the two main methods (Fernández et al., 2005; Mendoza et al., 2006; Faustino et al., 2007; Lucas et al., 2008; Wu et al., 2010; Romano et al., 2012).”
Bread crumb quality assessment: a plural physical approach (2009, background): “it correlates well with other physical and sensory indicators of product quality [16, 17, 22 ].”
Computer Vision System Applied to Classification of “Manila” Mangoes During Ripening Process (2014, background): “, CCD or CMOS), but the rendering is device-dependent, since the range of colors varies according to the display device specifications (Kang 1997; Mendoza et al. 2006; Cubero et al. 2011).”
Colour measurements by computer vision for food quality control – A review (2013, methodology): “Mendoza et al. (2006) transferred RGB into sRGB according to IEC 61966-2-1 (1999) for the colour measurements of agricultural foods.”