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; G.E. Gardner

doi:10.1016/j.meatsci.2020.108398

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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.

Details

Title: Prediction of lamb carcase C-site fat depth and GR tissue depth using a non-invasive portable microwave system
Authors/Creators: J. Marimuthu (Author/Creator) - Murdoch University
K.M.W. Loudon (Author/Creator) - Murdoch University
G.E. Gardner (Author/Creator) - Murdoch University
Publication Details: Meat Science, Vol.181, Article 108398
Publisher: Elsevier
Identifiers: 991005540990807891
Murdoch Affiliation: School of Agricultural Sciences
Language: English
Resource Type: Journal article

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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