Project Outline:
This research looks at the use of geospatial technologies to investigate crop growth production at paddock, district and regional levels.The project will use In-season monitoring of crop growth using UAVs and geospatial techniques including video and sensor technologies to understand crop production systems
The project will use:
- Techniques such as image processing will be used determine changes in the crop production.
- Ndvi images and ground truthing will also be used to validate.
Desired Skills:
- Skills in Database Programming, and Artificial Intelligent systems and Advanced Computer Programming. (Essential)
- R and other languages (Desirable)
- GIS technologies ArcGIS (Essential)
- Experience in Plant Science, Agriculture/Horticulture an advantage (Desirable)
- Good oral and report writing skills (Essential)
- Able to work in team environment (Essential)
- Good project management skills (Essential)
- Drivers license
Project Area: Computing and Agriculture (Digital Agriculture Research Group)
Supervisor(s): Dr Leisa Armstrong, Professor Dean Diepeveen and Dr Amiya Tripathy
Project level: Honours, Masters, PhD
Funding: Applicant should apply for ECUHDR or RTP Scholarship and Honours Scholarship
Start date: Semester 1 2022
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