Lean meat yield estimation using a prototype 3D imaging approach.

Alempijevic, A; Vidal-Calleja, T; Falque, R; Quin, P; Toohey, E; Walmsley, B; McPhee, M

Lean meat yield estimation using a prototype 3D imaging approach.

Alempijevic, A

Vidal-Calleja, T Falque, R Quin, P

Toohey, E Walmsley, B McPhee, M

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Publisher:: Elsevier BV
Publication Type:: Journal Article
Citation:: Meat science, 2021, pp. 108470
Issue Date:: 2021-02-19

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Field	Value	Language
dc.contributor.author	Alempijevic, A https://orcid.org/0000-0002-1769-8041
dc.contributor.author	Vidal-Calleja, T
dc.contributor.author	Falque, R
dc.contributor.author	Quin, P https://orcid.org/0000-0001-6542-3459
dc.contributor.author	Toohey, E
dc.contributor.author	Walmsley, B
dc.contributor.author	McPhee, M
dc.date.accessioned	2021-03-29T02:31:02Z
dc.date.available	2021-02-15
dc.date.available	2021-03-29T02:31:02Z
dc.date.issued	2021-02-19
dc.identifier.citation	Meat science, 2021, pp. 108470
dc.identifier.issn	0309-1740
dc.identifier.issn	1873-4138
dc.identifier.uri	http://hdl.handle.net/10453/147607
dc.description.abstract	Lean Meat Yield (LMY, %) of carcass is an important industry trait, which currently is not routinely measured in Australian beef abattoirs. Objective on-line technology to determine LMY is key for wider adoption. This paper presents a proof-of-concept approach for estimating the LMY of beef carcasses from the 3D information provided by RGB-D cameras. Moreover, a specifically designed on-line data acquisition system for abattoir applications is presented, consisting of three cameras moving on a scanning rig to generate 3D carcass side reconstructions. The hindquarter is then segmented consistently across all the 3D models to extract curvature information and LMY estimated via non-linear regression based on Gaussian Process models. Sides from 119 carcasses at two different commercial abattoirs were used to evaluate this approach. Results from this preliminary study (RMSE = 3.91%, R<sup>2</sup> = 0.69) using curvature, P8 fat and HSCW indicate that 3D imaging of beef carcasses is a viable and relatively accurate technology to estimate LMY.
dc.format	Print-Electronic
dc.language	eng
dc.publisher	Elsevier BV
dc.relation.ispartof	Meat science
dc.relation.isbasedon	10.1016/j.meatsci.2021.108470
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.subject	0702 Animal Production, 0904 Chemical Engineering, 0908 Food Sciences
dc.subject.classification	Dairy & Animal Science
dc.title	Lean meat yield estimation using a prototype 3D imaging approach.
dc.type	Journal Article
utslib.location.activity	England
utslib.for	0702 Animal Production
utslib.for	0904 Chemical Engineering
utslib.for	0908 Food Sciences
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - CAS - Centre for Autonomous Systems
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Mechanical and Mechatronic Engineering
utslib.copyright.status	open_access	*
utslib.copyright.embargo	2022-03-29T00:00:00+1000Z
dc.date.updated	2021-03-29T02:31:00Z
pubs.publication-status	Published

Abstract:

Lean Meat Yield (LMY, %) of carcass is an important industry trait, which currently is not routinely measured in Australian beef abattoirs. Objective on-line technology to determine LMY is key for wider adoption. This paper presents a proof-of-concept approach for estimating the LMY of beef carcasses from the 3D information provided by RGB-D cameras. Moreover, a specifically designed on-line data acquisition system for abattoir applications is presented, consisting of three cameras moving on a scanning rig to generate 3D carcass side reconstructions. The hindquarter is then segmented consistently across all the 3D models to extract curvature information and LMY estimated via non-linear regression based on Gaussian Process models. Sides from 119 carcasses at two different commercial abattoirs were used to evaluate this approach. Results from this preliminary study (RMSE = 3.91%, R² = 0.69) using curvature, P8 fat and HSCW indicate that 3D imaging of beef carcasses is a viable and relatively accurate technology to estimate LMY.

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http://hdl.handle.net/10453/147607