Application of AI and Geospatial Techniques For Watershed and Agricultural Land Management

Edith Cowan University, Australia

Updated: 9 months ago
Location: Mount Lawley, WESTERN AUSTRALIA
Deadline: ;

Project Outline:

This project examines the temporal and spatial variability of watersheds to determine the influence of water shed structures  and other landscape characteristics on the productivity of agricultural land within the catchment.

The research aims to develop methodology to collate, visualize and analyze complex climate, soils, land and agricultural production data from these watersheds.

This project follows on from earlier work undertaken in watershed in Andhra Pradesh State of India. The research aims to develop decision support tools that can be used to determine best practice watershed and catchment management.  The use of geospatial techniques and  computer science techniques will be used to develop an optimized model for different management scenarios .

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: Digital Agriculture  Research Group and Centre for Ecosystem Management

Supervisor(s): Dr Leisa Armstrong, Dr Dean Diepeveen and Dr Amiya Tripathy

Project level: Honours, Masters, PhD

Funding: Applicant should apply for ECUHDR or RTP Scholarship

Start date: Semester 2 2021

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