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Lean meat yield estimation using a prototype 3D imaging approach

Alen Alempijevic, Teresa Vidal-Calleja, Raphael Falque, Phillip Quin, Edwina Toohey, Brad Walmsley, Malcolm McPhee

Research output: Contribution to journalArticlepeer-review

20 Citations (Scopus)

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.

Original languageEnglish
Article number108470
Pages (from-to)1-9
JournalMeat Science
Volume181
DOIs
Publication statusPublished - 30 Nov 2021

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