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

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

J. Marimuthu, K.M.W. Loudon and G.E. Gardner
Meat Science, Vol.181, Article 108398
2021
DOI: 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.

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9 Times Cited - Web of Science

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Collaboration types
Domestic collaboration
Citation topics
3 Agriculture, Environment & Ecology
3.51 Dairy & Animal Sciences
3.51.206 Meat Quality
Web Of Science research areas
Food Science & Technology
ESI research areas
Agricultural Sciences
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