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Kim Bryceson
The University of Queensland
@kimpob742

Amando Navas Borrero
The University of Queensland

Fabian Vasuian
The University of Queensland

Catch this session

Wednesday 6 December 12pm – 12.30pm
Stream 1
Room H102 Allison Dickson Lecture Theatre

Abstract

The project described in this paper builds an innovative educational ‘front end’ to exciting technological developments in real time biophysical data gathering that are currently happening at The University of Queensland (UQ)’s regional campus (UQ Gatton ~85km SW of Brisbane in SE Queensland), via an Internet of Things (IoT) UQ Smart Campus Project. This paper describes the technologies involved, the development of a multifaceted web-based interface (dashboard) to the data collected, problem based learning modules, and 3D modelling using the real time streaming data acquired through the Internet of Things (IoT) technology of the UQ Gatton Smart Campus Initiative. The idea is to produce innovative teaching and assessment modules for multiple different courses in the UQ Science Faculty. The challenges and workarounds and two examples of using the data collected for problem-based learning modules will be described. Some discussion is included on what these technologies could provide in relation to delivering virtual reality, augmented reality and mixed reality environments for further teaching & learning developments in the “E” space being trialed currently with partners UQ ITS, Telstra/Readify, and Labster.

About the authors

Kim Bryceson

Kim is Professor of Agribusiness and Associate Dean Academic of the Science Faculty at the University of Queensland. Early research involved developing and implementing computer and satellite technology for integrated pest management, drought monitoring, site specific management and agribusiness decision support system development with the Commonwealth and Qld State governments. Over the last 15 years in academe she has been involved in agrifood supply and value chain analysis domestically and internationally with particular focus on using various modelling tools to construct supply chain risk assessment and performance management scenarios. She is the Director of the Agricultural Remote Sensing Laboratory at UQ’s Gatton campus where the collection of real time streaming Big Data through an Internet of Things infrastructure, plus the design, building and use of small drone technology and robotics for agricultural and environmental monitoring and sub-tropical agricultural research and teaching, is flourishing.

Amando Navas Borrero

An electrical engineer by first degree and professional experience, Armando has a family background in the cattle industry and is currently undertaking a PhD at the Agricultural Remote Sensing Lab at UQGatton specialising in the development and operationalisation of an Internet of Things data collection infrastructure as a tool for creating better management solutions for farmers

Fabian Vasuian

Fabian has completed a dual BEng / BSc in 2016 at UQ and after completing the required Internship for the BEng at the Agricultural Remote Sensing Lab in 2015/2016 at UQGatton, he is now working as a Systems Engineer with the UQ Gatton Smart Campus Internet of Things project, primarily delivering on the Data Dashboard product