Removal of Conveyor Belt near Infrared Signals in In-Line Monitoring of Proximal Ground Beef Composition

When monitoring the proximal composition of ground beef on a conveyor belt with a near infrared reflectance sensor, interference by signals from the belt itself proved to be a serious problem. A soft independent modelling of class analogies classification method proved useful in identifying spectra...

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Bibliographic Details
Published in:Journal of near infrared spectroscopy (United Kingdom) 2004-12, Vol.12 (6), p.377-379
Main Authors: Westad, Frank, Nilsen, Bjørg Narum, Wahlgren, Nils Magnus, Hildrum, Kjell Ivar
Format: Article
Language:English
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Summary:When monitoring the proximal composition of ground beef on a conveyor belt with a near infrared reflectance sensor, interference by signals from the belt itself proved to be a serious problem. A soft independent modelling of class analogies classification method proved useful in identifying spectra with belt components which, consequently, were removed to yield pure meat spectra. Partial lease squares regression on the basis of the corrected spectra yielded improved models for proximal analysis of the ground beef.
ISSN:0967-0335
1751-6552
DOI:10.1255/jnirs.446