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Research Thesis Topic

Machine Vision-based Sensing of the 3D Structure of Plants for Phenotyping in Daylight


Topic ID
195

Thesis Topic/Title
Machine Vision-based Sensing of the 3D Structure of Plants for Phenotyping in Daylight

Description

Plant identification and phenotyping using machine vision technology is a growing area in research. This PhD project would evaluate and identify new and novel methods of identifying plant species or plant disease or nutrient deficiency. The use of depth, multisprectral, hyperspectral, thermal, Flourecence, far Infra red can help in locating specific features associated with plants and possible plant disease and all machine vision spectrums will be evaluated to determine the most appropriate.


Principal Supervisor

Associate Supervisors

Research Affiliations
  • National Centre for Engineering in Agriculture

Field of Research
  • Agriculture, Land and Farm Management
  • Electrical and Electronic Engineering
  • Information Systems


Application Open Date
10/06/2016

Application Close Date
31/12/2020

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




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