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Research Thesis Topic

Automated broadacre crop and irrigation assessment using machine vision


Topic ID:
429

Thesis Topic/Title:
Automated broadacre crop and irrigation assessment using machine vision

Description

This project will develop automated agricultural technology aligned with UniSQ's Centre for Agricultural Engineering's industry-funded research. These aim to improve productivity through development and implementation of sensors and data analytics on farm machinery and equipment. These typically involve development of electronics and interfacing with sensor (e.g. camera) and logger hardware with control systems for irrigation, fertiliser, insecticide and herbicide application. Example existing research priorities are:

1. Automating insect and fruit counting using smartphone Apps and machine vision
2. Crop damage hot spot detection from insects using remote sensing imagery (UAVs and satellites)
3. Low-cost flow rate sensing for surface irrigation systems using fixed cameras and machine vision


Principal Supervisor

Associate Supervisors

Research Affiliations
  • National Centre for Engineering in Agriculture

Field of Research
  • Agriculture, Land and Farm Management

Available Academic Programs
  • Doctor of Philosophy (DPHD)

Application Open Date
01/04/2022

Application Close Date
01/04/2023

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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