Instrumentation and Automation in Agriculture

Please note that this Course has a Mandatory Assessment Submission requirement.

Offering Information

Please select an offering above to get offering specific information

Course Team

Derek Long

Justine Baillie

Summary

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 … For more content click the Read More button below.

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.

SynopsisThis 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.

Completion Requirements

Mandatory attendance

Submitting all assessment

1. The due date for an assignment is the date by which a student must despatch the assignment to the UniSQ. Students must retain a copy of each item submitted for assessment purposes. Such copies should be despatched to the UniSQ within 24 hours of receipt of a request to do so. 2. Electronic submission of assignments is required for this course. All submissions must be made through the Assignment Drop Box located on the UniSQ StudyDesk for this course, unless directed otherwise by the Examiner of the course. Students must retain a copy of each item submitted for assessment. This must be despatched to UniSQ within 24 hours if requested by the Examiner. 3. Reliable access to the internet is a requirement of this course as the course contains electronic assessment and submission elements. In order to avoid internet issues, on-campus students should upload their assignments electronically using the same computer laboratories. Online students who knowingly do not have reliable access to the internet should actively seek alternative internet access (e.g., Internet cafes, local libraries, or workplaces) for assessment submission. Online students are able to use the on-campus student computer laboratories once access has been enabled. To be granted access, Online students need to contact ICT and ask to have a student account enabled so that they can work on-campus. 4. Students are expected to open their university provided email account and check it regularly for personal communication. In accordance with the Electronic Communication with Students Policy and Procedure (http://policy.usq.edu.au/documents.php?id=13306PL) information sent to the student's UniSQ email account will be regarded as being received. 5. Harvard AGPS style is the referencing system required in this course. The Harvard AGPS Style to be used is definedby the UniSQ Library's referencing guide. http://www.usq.edu.au/library/referencing

Offerings

Trimester 2

EXT-TWMBA-TR2

ON-TWMBA-TR2

Topics

1. Existing and emerging sensors in agricultural technologies (30%) 2. Sensor output interpretation and signal processing (20%) 3. Wireless networks including low-power wide-area networks (10%) 4. Data connectivity and IoT in Agricultural Production Systems (15%) 5. CANBus and ISOBus systems (10%) 6. Fundamentals of automation in agricultural technologies (15%)

1. Existing and emerging sensors in agricultural technologies (30%)

2. Sensor output interpretation and signal processing (20%)

3. Wireless networks including low-power wide-area networks (10%)

4. Data connectivity and IoT in Agricultural Production Systems (15%)

5. CANBus and ISOBus systems (10%)

6. Fundamentals of automation in agricultural technologies (15%)

Assessments

Assessment due dates (as listed in Week Due) are indicative until finalised by the end of Week 1 for each Study Period (Offering). After Week 1, Assessment due dates may change with the approval of the Dean (Academic) or Delegate in limited circumstances. All Assessment due date changes approved after Week 1 will be communicated to students accordingly via Handbook and StudyDesk.

Quiz

Report 1

Practical Report

Report 2

UniSQ Handbook

AGR2202 - Instrumentation and Automation in Agriculture