Advanced measurement technologies for globally competitive Australian meat value chains

Project Member(s): Alempijevic, A., Vidal Calleja, T.

Funding or Partner Organisation: Department of Agriculture and Water Resources

Start year: 2016

Summary: This program aims to develop technologies for measuring lean meat yield of live animals on-farm, and of carcases in abattoirs. These technologies need to be cost effective for those plants utilising them, hence a selection of technologies will be investigated including highly precise, although more expensive “direct-measurement” alternatives such as dual energy x-ray absorptiometry (DEXA), and less expensive, although less precise “predictive-measurement” alternatives such as 3D imaging.

Publications:

Maleki, B, Alempijevic, A & Vidal-Calleja, T 1970, 'Continuous Optimization Framework for Depth Sensor Viewpoint Selection', Workshop on the Algorithmic Foundations of Robotics, Workshop on the Algorithmic Foundations of Robotics, Springer International Publishing, Merida, Mexico, pp. 357-372.
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Mehami, J, Vidal-Calleja, T & Alempijevic, A 1970, 'Observability driven Multi-modal Line-scan Camera Calibration', 2020 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), 2020 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), IEEE, Karlsruhe, Germany, pp. 285-290.
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Maleki, B, Falque, R, Vidal-Calleja, T & Alempijevic, A, 'SPaM: soft patch matching for non-rigid pointcloud registration', Frontiers in Robotics and AI, vol. 10, p. 1019579.
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Keywords: 3D imaging, trait estimation, carcass composition, lean meat yield

FOR Codes: Adaptive Agents and Intelligent Robotics, Animal Growth and Development, Beef Cattle, Sheep - Meat, Intelligent robotics, Sheep for meat

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.