Hyperspectral imaging for the investigation of quality deterioration in sliced mushrooms (Agaricus bisporus) during storage

By Aoife A. Gowen, Colm O'Donnell, M. Taghizadeh, E. Gaston, Aoife O'Gorman, P. Cullen, J. Frías, Carlos Esquerre, G. Downey. 2008

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Application of Visible Hyperspectral Imaging for Prediction of Springiness of Fresh Chicken Meat (2015, background): “It should be noted that the establishment of robust and stable calibration models requires a wide range of quality variability presented in the reference data while a narrow range of variability can negatively affect predictability of any quality attributes (ElMasry et al. 2012; Gowen et al. 2008).”
Recent Developments in Hyperspectral Imaging for Assessment of Food Quality and Safety (2014, methodology): “Mushroom slice quality was measured in terms of moisture content, colour and texture [31,83,84] using MLR and principal components regression (PCR).”
Prediction of white button mushroom (Agaricus bisporus) moisture content using hyperspectral imaging (2009, methodology): “Gowen et al. [ 24 ] reported RMSEP of 0.74 and standard deviation in MC of 1.48, giving an RPD of 2 for mushroom slices.”
Principles and Applications of Hyperspectral Imaging in Quality Evaluation of Agro-Food Products: A Review (2012, background): “( 2008 ) demonstrated the potential of hyperspectral imaging for quality prediction of moisture content, color, and texture of mushroom slices during storage at 4°C and 15°C.”