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  • Using Agricultural Production Systems Models and Spatial Analysis of Crop Yields to iIdentify, Diagnose and Address Areas of Environmental Constraints to Crop Production

Research Thesis Topic

Using Agricultural Production Systems Models and Spatial Analysis of Crop Yields to iIdentify, Diagnose and Address Areas of Environmental Constraints to Crop Production


Topic ID
117

Thesis Topic/Title
Using Agricultural Production Systems Models and Spatial Analysis of Crop Yields to iIdentify, Diagnose and Address Areas of Environmental Constraints to Crop Production

Description

Modern agricultural production systems and enterprises are data rich environments. In theory the availability of data enhances decision making and allows producers to readily identify and address production constraints. However, the volume of data available and a lack of easy to apply methodologies to ingest and analyse this data often leads to a paralysis in decision making. Agricultural production system models have traditionally been used to explore complex interactions between climate/weather, soils, crops, livestock and management. This makes such models ideally suited for ingesting an interpreting complex and large agricultural data flows in a way that facilitates decision making. This project will use yield maps coupled with other on-farm data flows that are ingested through agricultural models within a machine learning/artificial intelligence framework to diagnose areas of constraint within cropping systems and develop prescriptive agricultural strategies to help producers overcome these constraints.


Principal Supervisor

Associate Supervisors

Research Affiliations
  • Computational Engineering and Science Research Centre
  • Institute for Agriculture and the Environment

Field of Research
  • Crop and Pasture Production
  • Numerical and Computational Mathematics

Available Academic Programs

Application Open Date
12/04/2016

Application Close Date
31/12/2020

USQ Scholarship Applications

Pre-approved for Ethics
Not Applicable

Admission Requirements

Please review the admission requirements for the academic program associated with this Thesis Topic




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