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
Available Academic Programs
- Doctor of Philosophy (DPHD)
- Master of Research (MRES)
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