BSEN40750 IoT enabled AgriFood Prod

Academic Year 2023/2024

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.

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Curricular information is subject to change

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 Open Book Exam Component Scale Must Pass Component % of Final Grade
Assignment: A report on the development, objectives, methodology and results of a cloud based IoT sensor that integrates multisource data to create a virtual Agricultural IoT system.
 Week 9 n/a Graded No

40
Presentation: Oral presentation to include objectives and methodology needed to demonstrate the final assignment's Agricultural IoT system. Week 11 n/a Graded No

10
Class Test: Examination of knowledge related outcomes 2 hour End of Trimester Exam n/a Graded Yes

50

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 Kevin McDonnell Lecturer / Co-Lecturer
Timetabling information is displayed only for guidance purposes, relates to the current Academic Year only and is subject to change.
 
Spring
      
Online Learning Offering 1 Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 Mon 13:00 - 14:50
Online Learning Offering 1 Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 Wed 15:00 - 15:50
Spring