Dr Greg Falzon

Associate Professor

College of Science and Engineering

place Tonsley Building
GPO Box 2100, Adelaide 5001, South Australia

Greg Falzon BSc (Hon I), GradDipEd, PhD, is the Associate Professor of Precision Agriculture Systems in the College of Science and Engineering, Flinders University. A/Prof Falzon is driven by the need to innovate and advance technology to address the major food security challenges of the 21st century. He has made significant contributions in advancing the development of agricultural technology particularly in areas related to artificial intelligence, data science, machine learning and software systems. His research is truly multi-disciplinary incorporating the computational, biological and physical sciences with a focus on achieving tangible outcomes for the agricultural sector. The breadth and depth of A/Prof Falzon’s research spans multiple continents and industries including the cotton, dairy, grains and livestock sectors.

A/Prof Falzon has an excellent record of agricultural industry funding and impact. Notable achievements include research presentations to senior government officials including the Prime Minister, Deputy Prime Minister and NSW Governor-General. These achievements have also been recognised in the media in prominent agricultural news outlets including ABC Rural and The Land. A/Prof Falzon is passionate about inspiring and mentoring the careers of students and supporting their career development.


PhD Biomedical Image Analysis (UNE), 2011.

Bachelor of Science (Honours), 1st Class, (UNE), 2004.

Graduate Diploma in Education, (UNE), 2003.

Honours, awards and grants


Selected awards include:

Australian Academy of Technology & Engineering ICM Agrifood Award 2020.

President’s Medal, Australian Society of Sugar Cane Technologists 2016.

2015 Science and Innovation Awards for Young People in Agriculture, Fisheries and Forestry - Australian Wool Innovation division.

UNE PARG team Regional Development Australia-Northern Inland Innovation Awards: Smart Farm ‘2014 Innovation of the Year’ and winner ‘Research and Education’ category.

JB Douglas Award for Excellence in Postgraduate Statistics 2005.


A/Prof Falzon has received or contributed to, as a project participant or external collaborator, grant funding in excess of $26 Million ($45 Million inc. in-kind) since his PhD candidature. This funding relates to joint industry, government and academic initiatives.

Recent completed major projects where he was a Principal Investigator include:

2017-2019 e-Technology Hub – Utilising Technology to Improve Pest Management Effectiveness and Enhance Welfare Outcomes: Commonwealth Grant, Australian Government Department of Agriculture and Water Resources. Centre for Invasive Species Solutions including University of New England; New South Wales Department of Primary Industries; Primary Industries and Regions, SA (PIRSA); Department of Primary of Industries and Regional Development, WA (DPIRD); Tasmania Biosecurity. $1,185,091 ($2,160,029 inc. in-kind)(exc GST).

2016-2019 Wild Dog Alert System: Australian Government Department of Agriculture. Invasive Animal Cooperative Research Centre including NSW Department of Primary Industries, University of New England, Australian Wool Innovation, Meat and Livestock Australia. $1,544,674 ($ 2,806,540 inc. in-kind) (exc GST).

2015 Science and Innovation Awards for Young People in Agriculture, Fisheries and Forestry. Electronic Shepherd: A Wild Dog Attack Detection System, Australian Wool Innovation and Australian Government (Department of Agriculture, Fisheries and Forestry) $21,420 (exc GST).

Teaching interests

Artificial Intelligence, Data Science, Computational Science, Information Technology, Machine Learning, Statistics

Topic coordinator
STAT3702 Stochastic Processes
STAT8702 Stochastic Processes
COMP2812 Operating Systems
COMP9812 Operating Systems
Higher degree by research supervision
Associate supervisor: Artificial Intelligence (5)
Principal supervisor: Cloud Computing (1), Artificial Intelligence (4)
Associate supervisor: Precision Agriculture (2), High Performance Computing (1), Artificial Intelligence (2), Mobile e-Voting (1), Wireless Visual Sensor Networks (1)
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