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Hyperspectral Imaging for Food Quality Analysis and Control

Hyperspectral Imaging for Food Quality Analysis and Control

by Da-Wen Sun
Paperback
Publication Date: 02/09/2016

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Based on the integration of computer vision and spectrscopy techniques, hyperspectral imaging is a novel technology for obtaining both spatial and spectral information on a product. Used for nearly 20 years in the aerospace and military industries, more recently hyperspectral imaging has emerged and matured into one of the most powerful and rapidly growing methods of non-destructive food quality analysis and control.

Hyperspectral Imaging for Food Quality Analysis and Control provides the core information about how this proven science can be practically applied for food quality assessment, including information on the equipment available and selection of the most appropriate of those instruments.

Additionally, real-world food-industry-based examples are included, giving the reader important insights into the actual application of the science in evaluating food products.
ISBN:
9780128102237
9780128102237
Category:
Food & beverage technology
Format:
Paperback
Publication Date:
02-09-2016
Publisher:
Elsevier Science Publishing Co Inc
Country of origin:
United States
Pages:
496
Dimensions (mm):
235x191mm
Weight:
1.11kg
Da-Wen Sun

Da-Wen Sun is a leading educator in food engineering and a Professor of Food and Biosystems Engineering and the Director of the Food Refrigeration and Computerised Food Technology Research Group at University College Dublin (UCD).

His main research activities include cooling, drying, and refrigeration processes and systems; quality and safety of food products; bioprocess simulation and optimization; and computer vision technology. His innovative studies on vacuum cooling of cooked meats, pizza quality inspection by computer vision, and edible films for shelf life extension of fruit and vegetables have been widely reported in national and international media.

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