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B.STU.1805 - Cassius Coombs Postgraduate scholarship

MLA supports under/postgraduates to work on industry’s complex problems by providing opportunities for them to enter the red meat industry.

Project start date: 02 January 2018
Project end date: 29 November 2021
Publication date: 18 January 2024
Project status: Completed
Livestock species: Grain-fed Cattle, Grass-fed Cattle, Sheep, Lamb
Relevant regions: National, International
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Summary

The objective of this PhD was to use new technologies implemented in a multisensory scanner platform (hyperspectral imaging and multi-energy x-ray) to identify organ type and disease status of organs in the abattoir. With the latter we aimed to develop a system for automatic screening of offal for defects using the experience of qualified veterinary pathologists.

Objectives

The objective of this PhD was to use new technologies implemented in a multisensory scanner platform (hyperspectral imaging and multi-energy x-ray) to identify organ type and disease status of organs in the abattoir.

Key findings

Spectroscopic sensors such as near-infrared spectroscopy (NIRS), Raman spectroscopy, and hyperspectral (HS) imaging were trialled in the present thesis.

Benefits to industry

Spectroscopic sensors such as near-infrared spectroscopy (NIRS), Raman spectroscopy, and hyperspectral (HS) imaging were trialled in the project.

MLA action

Industry support.

Future research

MLA will continue supporting under/postgraduates to work on industry’s complex problems by providing opportunities for them to enter the red meat industry.

For more information

Contact Project Manager: Joshua Whelan

E: reports@mla.com.au