Not currently offered

Credit points: 15

Subject outline

Agricultural activities based on scientific principles that are aided with appropriate technologies can enable considerable commercial successes and competitive advantage. Knowledge and skills in three key technological areas will be developed: (1) Sensing technology for environment, climate, plant soil and animals will be explored, including the use of telemetry, drones, global navigation satellite systems (GNSS) and geographic information systems (GIS); (2) Agricultural production modelling for assessment of productivity and benchmarking; and (3) Genetic engineering and genomic technologies that are relevant to the industry will be briefly explored. The ability to objectively assess emerging technologies for their magnitude and certainty of benefit is a key intended learning outcome. An understanding of the interrelationships between technology, performance, social, ethical, sustainability and production efficiency will be gained.

SchoolLife Sciences

Credit points15

Subject Co-ordinatorMarisa Collins

Available to Study Abroad/Exchange StudentsNo

Subject year levelYear Level 2 - UG

Available as ElectiveNo

Learning ActivitiesN/A

Capstone subjectNo

Subject particulars

Subject rules

Prerequisites Admission into SBATE


Incompatible subjectsAGR3FTE

Equivalent subjectsN/A

Quota Management StrategyN/A

Quota-conditions or rulesN/A

Special conditionsN/A

Minimum credit point requirementN/A

Assumed knowledgeN/A

Career Ready


Work-based learningNo

Self sourced or Uni sourcedN/A

Entire subject or partial subjectN/A

Total hours/days requiredN/A

Location of WBL activity (region)N/A

WBL addtional requirementsN/A

Graduate capabilities & intended learning outcomes

Graduate Capabilities

Intended Learning Outcomes

01. Explain the interrelationships between technology, performance, sustainability and production efficacy in agricultural industries
02. Explain the role of technologies, with respect to genetic engineering methodologies and genomics, with an awareness of the ethical, environmental and social issues.
03. Evaluate different technologies associated with precision agriculture, including sensing technologies, GPS and GIS
04. Use crop growth and yield prediction software to assess agricultural productivity and explain concepts of measuring and modelling in the application of precision and future farming technologies.

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