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

Sensing and Instrumentation for Food Quality and Safety

Volumn 2, Issue 3, 2008, Pages 133-143

  Gowen, Aoife A ^a   O'Donnell, C P ^a   Taghizadeh, M ^a   Gaston, E ^b   O'Gorman, A ^b   Cullen, P J ^b   Frias, J M ^b   Esquerre, C ^c   Downey, G ^c  

^a UNIVERSITY COLLEGE DUBLIN   (Ireland)

^b DUBLIN INSTITUTE OF TECHNOLOGY   (Ireland)

^c ASHTOWN FOOD RESEARCH CENTRE   (Ireland)

Author keywords

Agaricus; Bisporus; Hyperspectral; Mushroom; Slice

Indexed keywords

AGARICUS; AGARICUS BISPORUS; BISPORUS; EXHAUSTIVE SEARCH; FOOD QUALITY; HYPER-SPECTRAL IMAGES; HYPERSPECTRAL; HYPERSPECTRAL IMAGING; LINE-SCANNING; MOISTURE CONTENT; MULTI-SPECTRAL IMAGING; MULTIPLE LINEAR REGRESSION; MUSHROOM; POTENTIAL APPLICATIONS; PREDICTOR VARIABLES; PRINCIPAL COMPONENT REGRESSION; PUSHBROOM; QUALITY DETERIORATION; QUALITY PARAMETERS; QUALITY PREDICTION; SLICE; SPECTROSCOPIC RESOLUTION; WAVELENGTH RANGES;

ATMOSPHERICS; CALIBRATION; CANNING; COSMIC RAYS; FINANCIAL DATA PROCESSING; FOOD PRESERVATION; FOOD PROCESSING; FORECASTING; IMAGING TECHNIQUES; MOISTURE; MOISTURE DETERMINATION; PRINCIPAL COMPONENT ANALYSIS; REGRESSION ANALYSIS;

WASTEWATER;

EID: 61849133542     PISSN: 19327587     EISSN: 19329954     Source Type: Journal    
DOI: 10.1007/s11694-008-9042-4     Document Type: Article

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