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AGR2202 Instrumentation and Automation in Agriculture

Semester 2, 2022 Toowoomba On-campus
Units : 1
Faculty or Section : Faculty of Health, Engineering and Sciences
School or Department : School of Agriculture and Environmental Science
Grading basis : Graded
Course fee schedule : /current-students/administration/fees/fee-schedules

Staffing

Examiner:

Overview

Digital technology is transforming agriculture. The purpose of this course is to equip students to competently and effectively develop and deploy instrumentation solutions to collect, communicate and process data to deliver optimal decision making in agricultural production systems. Students will develop an understanding of the fundamental concepts that underpin instrumentation and automation so that they are equipped to deal with the rapid development and emergence of new instrumentation and automation solutions in agriculture.

This course provides students with a practical introduction to the use of instrumentation and automation in agricultural production systems. Students will develop skills in selecting and using a range of digital technologies including sensing, processing and network technologies to address specific real-world agricultural production challenges.
Students will participate in a range of individual and team practical activities to develop confidence and competence in the use of instrumentation.

This course contains a mandatory residential school for external students and on-campus students.

Course learning outcomes

On completion of this course students should be able to:

  1. Differentiate between the range of sensors employed in agricultural technology applications.
  2. Calibrate and deploy a sensing system to solve a given task.
  3. Compare different signal processing approaches.
  4. Build and operate a LoRaWAN (low-power wide-area network).
  5. Design a connected smart farm.
  6. Use CANBus and ISOBus systems and describe associated standards for these systems.
  7. Describe the fundamental elements of automation including sensing, control and actuation.
  8. Communicate the results from implementing instrumentation in agricultural technology applications.

Topics

Description Weighting(%)
1. Existing and emerging sensors in agricultural technologies 30.00
2. Sensor output interpretation and signal processing 20.00
3. Wireless networks including low-power wide-area networks 10.00
4. Data connectivity and IoT in Agricultural Production Systems 15.00
5. CANBus and ISOBus systems 15.00
6. Fundamentals of automation in agricultural technologies 10.00

Text and materials required to be purchased or accessed

There are no texts or materials required for this course.

Student workload expectations

To do well in this subject, students are expected to commit approximately 10 hours per week including class contact hours, independent study, and all assessment tasks. If you are undertaking additional activities, which may include placements and residential schools, the weekly workload hours may vary.

Assessment details

Approach Type Description Group
Assessment
Weighting (%) Course learning outcomes
Assignments Written Quiz No 10 1
Assignments Written Report 1 No 30 1,2,3,8
Assignments Written Report 2 No 30 4,5,7,8
Assignments Practical Practical No 30 1,2,3,4,5,6,7,8
Date printed 10 February 2023