BSEN40750
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Academic Year 2025/2026
IoT and cloud platforms in AgriFood Prod (BSEN40750)
Subject: : Biosystems Engineering
College: : Engineering & Architecture
School: : Biosystems & Food Engineering
Level: : 4 (Masters)
Credits: : 5
Module Coordinator: : Dr Joseph Sweeney
Trimester: : Spring
Mode of Delivery: : Blended
Internship Module: : No
How will I be graded? : Letter grades
Curricular information is subject to change.
This module examines the principles and theories that underpin the concept of Internet of Things (IoT) enabled Agri-Food Production. \ \ The module will focus on (i) IoT sensors, IoT cloud Platforms and their applications to agriculture, (ii) Proximal Sensing, (iii) IoT decision support and (iv) Power Management. Through the completion of a set of IoT practicals students will learn the basics of programming and communication with an IoT cloud platform. To increase their understanding of what is required for successful smart Applications in real world agricultural systems, they will be tasked with implementing and demonstrating their own virtual IoT Sensor agricultural smart application.
About this Module
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What will I learn?
Learning Outcomes:
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 and considers power management, to create a virtual Agricultural IoT system \ \
How will I learn?
Student Effort Hours:
| Student Effort Type | Hours |
|---|---|
| Specified Learning Activities | 48 |
| Autonomous Student Learning | 52 |
| Lectures | 8 |
| Tutorial | 8 |
| Computer Aided Lab | 8 |
| --- | --- |
| Total | 124 |
\
Approaches to Teaching and Learning:
Lectures\ \ Active/task-based learning through:\ -lab work assignments/practicals\ -Feed back and tutorial support\ -Student presentations.\ \
Am I eligible to take this module?
Requirements, Exclusions and Recommendations
Not applicable to this module.
\
Module Requisites and Incompatibles
Not applicable to this module. \ \
How will I be assessed?
Assessment Strategy
| Description | Timing | Component Scale | Must Pass Component | % of Final Grade | In Module Component Repeat Offered |
|---|---|---|---|---|---|
| Assignment(Including Essay): Oral presentation to include objectives , methodology and results applied to achieve final Agricultural IoT system. | Week 12 | Standard conversion grade scale 40% | No | 20 | 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 | 15 | No |
| Assignment(Including Essay): IoT Soil Moisture Sensor: setup, calibration, testing and performance analysis (Short Report) | Week 8 | Alternative linear conversion grade scale 40% | No | 25 | No |
| Assignment(Including Essay): In-field deployment and testing of IoT soil sensors to create a Virtual Crop Irrigation Decision Support System (Short Report) | Week 12 | Standard conversion grade scale 40% | No | 40 | No |
\
Carry forward of passed components
Yes
\
What happens if I fail?
| Resit In | Terminal Exam |
|---|---|
| Summer | No |
Please see Student Jargon Buster for more information about remediation types and timing. \
Assessment feedback
Feedback Strategy/Strategies
• Feedback individually to students, post-assessment\
How will my Feedback be Delivered?
Pre-and post feedback on assignments and presentations will be provided throughout the semester
Associated Staff
| Name | Role |
|---|---|
| Dr Declan Delaney | Lecturer / Co-Lecturer |
| Professor Aoife Gowen | Lecturer / Co-Lecturer |
| Professor Kevin McDonnell | Lecturer / Co-Lecturer |
| Dr Ana Herrero Langreo | Tutor |
| Ibrahim Zubairu Waziri | Tutor |
When is this module offered?
Timetabling information is displayed only for guidance purposes, relates to the current Academic Year only and is subject to change.
| Spring | Lecture | Offering 1 | Week(s) - 20, 21, 23, 24, 25, 26, 29, 30, 32, 33 | Mon 13:00 - 14:50 |
| Spring | Lecture | Offering 1 | Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 | Thurs 14:00 - 14:50 |