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Research Thesis Topic

Automated Non-contact Advance Rate Detection

Topic ID

Thesis Topic/Title
Automated Non-contact Advance Rate Detection


Surface irrigation systems account for over 90% of Australia's irrigation cotton which involve gravity fed water flowing along a field. Surface irrigation events are typically managed by manually inspecting the location of water along each furrow and stopping the water inflow when the water reaches the end of the field. Existing commercial advance sensors measure single fixed points in the field; however, irrigation advance rates can vary significantly between crop rows. Current research has shown colour and temperature can indicate water advance. This project will research detection of advance rate using visual responses from a field edge camera-based system when water approaches the tail drain.

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
  • Agriculture, Land and Farm Management
  • Crop and Pasture Production
  • Electrical and Electronic Engineering

Application Open Date

Application Close Date

USQ Scholarship Applications

Other Scholarship Funding Details

Pre-approved for Ethics

Admission Requirements

Please review the admission requirements for the academic program associated with this Thesis Topic

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