Research Thesis Topic
Developing a Machine Learning Model to Reliably Predict Future Food Waste
Topic ID:
447
Thesis Topic/Title:
Developing a Machine Learning Model to Reliably Predict Future Food Waste
Description
With rapid population growth and urbanisation, food waste generation rates also keep rising in Australia and all around the world. Dumping food waste in a landfill can cause significant environmental problems. This project will develop a machine learning model to predict the amount and composition of food waste at the region or industry level. This information will help to develop an evidence-based waste management strategy.
Principal Supervisor
Associate Supervisors
Research Affiliations
- National Centre for Engineering in Agriculture
Field of Research
- Agriculture, Land and Farm Management
Available Academic Programs
- Doctor of Philosophy (DPHD)
Application Open Date
15/11/2021
Application Close Date
15/11/2022
USQ Scholarship Applications
Pre-approved for Ethics
Not Applicable
Admission Requirements
Please review the admission requirements for the academic program associated with this Thesis Topic