Project Outline

The Australian agricultural sector is globally recognised for its high-quality products, particularly in the beef industry. However, food fraud and mislabeling present significant challenges that threaten the integrity of this reputation. This proposal outlines a PhD project aimed at developing a machine-learning model to authenticate the origin of Australian agricultural products while ensuring data privacy. The authentication will be focused on authorities that determine the food origin through their data, such as isotope and volatile organic compounds. However, these data are never released for data privacy (which can be mimicked if released or known). By leveraging advanced analytical techniques, this research seeks to provide a reliable solution for verifying product provenance, thereby enhancing consumer trust and industry standards.

From engaging in this project the student will learn how to:

• develop a machine-learning model
• ensure Data Privacy
• enhance traceability
• address food fraud.

To register an expression of interest, click here. You will need to outline why you have selected the research project and how your skills, experience and/or knowledge meet the project requirements.