Research Thesis Topic
Vision-based Condition Score Assessment of Cattle from Aerial Images
Topic ID:
162
Thesis Topic/Title:
Vision-based Condition Score Assessment of Cattle from Aerial Images
Description
Many cattle management operations occur by manual visual inspection of cattle in feedlots and grazing situations. Automation of animal measurements, like condition scoring, that integrates with existing cattle management routines, would enable enhanced management potentially on an individual animal level. This research will develop a proof-of-concept machine vision technology for Remotely Piloted Aircraft (drones) or other camera platforms that automates visual assessment of cattle conditions.
Principal Supervisor
Associate Supervisors
Research Affiliations
- Institute for Agriculture and the Environment
- National Centre for Engineering in Agriculture
- School of Agricultural and Environmental Sciences
- School of Engineering
Field of Research
- Animal Production
- Artificial Intelligence and Image Processing
- Electrical and Electronic Engineering
Available Academic Programs
- Doctor of Philosophy (DPHD)
- Master of Research (MRES)
- Master of Research (MRES)
Application Open Date
03/06/2016
Application Close Date
31/12/2020
USQ Scholarship Applications
Other Scholarship Funding Details
https://www.usq.edu.au/research/research-at-usq/institutes-centres/ncea/apa-scholarships
Pre-approved for Ethics
No
Admission Requirements
Please review the admission requirements for the academic program associated with this Thesis Topic