Project Outline:
- The partner for this project will be with Department of Primary Industries and Regional Development (DPIRD) and several Farmer Groups
- This project will look the use of images to map crop growth patterns across paddocks to determine changes in crop health (caused by poor nutrition herbicide damage, pest damage).
- The project will use In-season monitoring of crop growth using UAVs and geospatial techniques including video and sensor technologies to monitor crop health.
- The project will use
- Techniques such as image processing will be used determine changes in the crop damage;
- Ndvi images and ground truthing will also be used to validate
- These techniques will used to determine if they can be upscaled to predict patterns across the cropping regions of WA
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
Project level: Honours, Masters, PhD
Funding: Applicant should apply for ECUHDR or RTP Scholarship and Honours Scholarship available
Start date: Semester 1 2022
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