Back to Find Units Page

Unit of Study AGRC5003 - Smart Farming Systems (2025)

Show me unit information for year

Unit Snapshot

  • Enrolment information

    N/A

Unit description

Applies a systems-based engineering approach to analysis and design of smart farming systems. Students will learn about the applications of smart agriculture tools and their impacts on farming and the agricultural industry using a showcase of typical systems. A scenario-based learning approach is used to guide students in applying a range of practical tools and techniques along with skills in systems analysis, engineering design and project management to a real industry-based engineering project.

Unit content

Module 1: GPS  and GIS applications in agriculture

Module 2: Remote sensing in agriculture

Module 3: Sensor technology in agriculture

Module 4: Auto-guidance and autonomous systems

Module 5: Internet of Things for agriculture

Module 6: Agricultural robotics

Availabilities

Not currently available in 2025

Learning outcomes

Unit Learning Outcomes express learning achievement in terms of what a student should know, understand and be able to do on completion of a unit. These outcomes are aligned with the graduate attributes. The unit learning outcomes and graduate attributes are also the basis of evaluating prior learning.

On completion of this unit, students should be able to:

employ a systems approach that integrates a detailed technical knowledge of sensor technology, Internet of Things, autonomous systems and robotics in agriculture with other relevant contextual factors to address a complex problem related to smart farming systems

evaluate and creatively apply advanced engineering methods, techniques, tools and resources to analyse and design solutions to a complex problem related to smart farming systems

select, define, successfully complete and communicate the outcomes from a complex project related to smart farming systems

self-assess conduct and performance as a professional engineer in contributing to the successful completion of a complex project related to smart farming systems