Extreme Weather Prediction Models for WA Cropping Regions

Updated: about 24 hours ago
Location: Mount Lawley, WESTERN AUSTRALIA
Deadline: ;

Project Outline:

This project will be done in collaboration with Dr Dean Diepeveen, Department of Primary Industries and Regional Development (DPIRD)

The project will use various AI and geospatial techniques to interrogate the agriculture and climate data sets in WA cropping regions.  A prototype extreme weather prediction model will be developed that will use the AI and Geospatial techniques with crop models and incorporate seasonal climatic data to predict distribution of frost damage and other extreme weather damage.

Desired Skills:

  1. Skills in Database Programming, and Artificial Intelligent systems and Advanced Computer Programming.  (Essential)
  2. R and other languages (Desirable)
  3. GIS technologies ArcGIS  (Essential)
  4. Experience in Plant Science, Agriculture/Horticulture an advantage (Desirable)
  5. Good oral and report writing skills (Essential)
  6. Able to work in team environment  (Essential)
  7. Good project management skills (Essential)
  8. 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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