Curricular information is subject to change.
On completion of this module students should be able to:
- Demonstrate an understanding of the principles of IoT enabled Agri-Food Production
- Understand the principles of how multisource data is acquired, interpreted, processed and integrated in IoT Systems
- Propose and develop a cloud based IoT sensor that integrates multisource data to create a virtual Agricultural IoT system
| Student Effort Type | Hours |
|---|---|
| Specified Learning Activities | 48 |
| Autonomous Student Learning | 52 |
| Lectures | 10 |
| Tutorial | 6 |
| Computer Aided Lab | 8 |
| Total | 124 |
Not applicable to this module.
| Description | Timing | Component Scale | % of Final Grade | ||
|---|---|---|---|---|---|
| Assignment(Including Essay): Oral presentation to include objectives and methodology needed to demonstrate the final assignment's Agricultural IoT system. | Week 11 | Standard conversion grade scale 40% | No | 15 |
No |
| Exam (In-person): Examination of knowledge related outcomes (1 hour Class Exam) | Week 12 | Standard conversion grade scale 40% | No | 30 |
No |
| Assignment(Including Essay): Setting up Arduino IoT Edge Device and transmitting and receiving IoT data to and from the IoT cloud. | Week 5 | Alternative linear conversion grade scale 40% | No | 10 |
No |
| Assignment(Including Essay): IoT Soil Moisture Sensor: setup, calibration, testing and performance analysis (Short Report) | Week 7 | Standard conversion grade scale 40% | No | 15 |
No |
| Assignment(Including Essay): In-field deployment and testing of IoT soil sensors to create a Virtual Crop Irrigation Decision Support System | Week 10 | Standard conversion grade scale 40% | No | 30 |
No |
| Resit In | Terminal Exam |
|---|---|
| Summer | Yes - 2 Hour |
• Feedback individually to students, post-assessment
Pre-and post feedback on assignments and presentations will be provided throughout the semester
| Name | Role |
|---|---|
| Dr Declan Delaney | Lecturer / Co-Lecturer |
| Professor Aoife Gowen | Lecturer / Co-Lecturer |
| Professor Kevin McDonnell | Lecturer / Co-Lecturer |
| Spring | Online Learning | Offering 1 | Week(s) - 20, 21, 23, 24, 25, 26, 29, 30, 31, 32 | Mon 13:00 - 14:50 |
| Spring | Online Learning | Offering 1 | Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 | Thurs 14:00 - 14:50 |