| Literature DB >> 33642037 |
Alen Alempijevic1, Teresa Vidal-Calleja2, Raphael Falque3, Phillip Quin4, Edwina Toohey5, Brad Walmsley6, Malcolm McPhee7.
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. CrownEntities:
Keywords: Beef; Carcass grading; Computer vision; Lean meat yield
Year: 2021 PMID: 33642037 DOI: 10.1016/j.meatsci.2021.108470
Source DB: PubMed Journal: Meat Sci ISSN: 0309-1740 Impact factor: 5.209