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Classification of organic beef storage conditions and maturation stage using VNIR hyperspectral imaging

Crichton, Stuart O.J.; Kirchner, Sascha M.; Porley, Victoria; Retz, Stefanie; von Gersdorff, Gardis; Hensel, Oliver; Weygandt, Martin and Sturm, Barbara (2017) Classification of organic beef storage conditions and maturation stage using VNIR hyperspectral imaging. Meat Science, 129, pp. 20-27.

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Online at: http://www.sciencedirect.com/science/article/pii/S0309174017301559

Summary

Consumer trust in the food industry is heavily reliant upon accurate labelling of meat products. As such, methods which can verify whether meat is correctly labelled are of great value to producers, retailers, and consumers. This paper illustrates two approaches to classify between, fresh and frozen thawed, and in a novel manner matured and matured frozen-thawed, as well as fresh and matured beef using the 500-1010 nm waveband, captured using hyperspectral imaging, and CIELAB measurements. The results show successful classification based upon CIELAB between 1) fresh and frozen-thawed (CCR = 0.93), and 2) fresh and matured (CCR = 0.92). With successful classification between matured and matured frozen-thawed beef using the entire spectral range (CCR = 1.00). The performance of reduced spectral models is also investigated. Overall it was found that CIELAB co-ordinates can be used for successful classification for all comparisons except between matured and matured frozen-thawed. Biochemical and physical changes of the meat are thoroughly discussed for each condition.


EPrint Type:Journal paper
Keywords:BÖLN, BOELN, BÖL, BOEL, FKZ 14OE006, SusOrganic, CoreOrganic, Beef, Chromaticity, Classification, Freezing, Hyperspectral, Maturation, Quality, Storage, Support vector machines, SVM, VNIR
Subjects: Food systems > Food security, food quality and human health
Food systems > Processing, packaging and transportation
Values, standards and certification > Consumer issues
Food systems > Produce chain management
Research affiliation: Germany > Federal Organic Farming Scheme - BOELN > Food > Processing
Germany > University of Kassel > Department of Agricultural Engineering and Agricultural Engineering in the Tropics and Subtropics
European Union > CORE Organic
UK
ISSN:0309-1740
DOI:10.1016/j.meatsci.2017.02.005
Related Links:http://www.bundesprogramm.de, http://orgprints.org/cgi/search/advanced?addtitle%2Ftitle=&keywords=14OE006&projects=BOEL&_order=bypublication&_action_search=Suchen
Deposited By: Von Gersdorff, Gardis J.E.
ID Code:30682
Deposited On:05 Apr 2017 09:47
Last Modified:05 Apr 2017 09:47
Document Language:English
Status:Published
Refereed:Peer-reviewed and accepted

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