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:
- 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: 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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