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Prediction of lamb carcase C-site fat depth and GR tissue depth using a non-invasive portable microwave system

Marimuthu, J., Loudon, K.M.W.ORCID: 0000-0002-5506-5480 and Gardner, G.E.ORCID: 0000-0001-7499-9986 (2020) Prediction of lamb carcase C-site fat depth and GR tissue depth using a non-invasive portable microwave system. Meat Science, 181 . Art. 108398.

Link to Published Version: https://doi.org/10.1016/j.meatsci.2020.108398
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Abstract

The experiment evaluated the ability of portable ultra-wide band microwave coupled with a Vivaldi patch antenna to predict carcase C-site fat and GR tissue depth. For C-site, 1070 lambs, across 8 slaughter groups were scanned and for GR, 286 lambs across 2 slaughter groups. Prediction equations for reflected microwave signals were constructed with a partial least squares regression two-components model and a machine learning Ensemble Stacking technique. Models were trained and validated using cross validation methods in actual datasets and then in datasets balanced for tissue depth. The precision and accuracy indicators of microwave predicted C-site fat depth across pooled and balanced datasets were RMSEP 1.53 mm, R2 0.54, and bias of 0.03 mm. The precision and accuracy for GR tissue depth across pooled and balanced datasets were RMSEP 2.57 mm, R2 0.79 and bias of 0.33 mm. Using the AUS-MEAT fat score accreditation framework this device was able to accurately predict GR 92.7% of the time.

Item Type: Journal Article
Murdoch Affiliation(s): Veterinary Medicine
Publisher: Elsevier BV
Copyright: © 2020 Published by Elsevier Ltd
URI: http://researchrepository.murdoch.edu.au/id/eprint/59402
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