Explore UCD

UCD Home >

BSEN40750

Academic Year 2024/2025

IoT enabled 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 Platforms, sensors and their applications to agriculture, (ii) Proximal Sensing, (iii) IoT decision support and (iv) Smart Applications. One or more IoT case studies will be provided to students to increase their understanding of how smart Applications are being applied to real world agricultural systems. Students will also learn the basics of programming in the cloud where they will implement their own virtual IoT Sensor agricultural smart application.

About this Module

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 to create a virtual Agricultural IoT system

Student Effort Hours:
Student Effort Type Hours
Lectures

10

Tutorial

6

Computer Aided Lab

8

Specified Learning Activities

48

Autonomous Student Learning

52

Total

124


Approaches to Teaching and Learning:
Lectures

Active/task-based learning through:
-lab work assignments/practicals
-Feed back and tutorial support
-Student presentations.

Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Not applicable to this module.
 

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 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

Carry forward of passed components
Yes
 

Resit In Terminal Exam
Summer Yes - 2 Hour
Please see Student Jargon Buster for more information about remediation types and timing. 

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

Name Role
Dr Declan Delaney Lecturer / Co-Lecturer
Professor Aoife Gowen Lecturer / Co-Lecturer
Professor Kevin McDonnell Lecturer / Co-Lecturer