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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, Computational and Environmental Sciences
  • School of Mechanical and Electrical Engineering

Field of Research
  • Animal Production
  • Artificial Intelligence and Image Processing
  • Electrical and Electronic Engineering


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




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