Claire Bennett

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Sense-T: Smart Data Innovation Transforming Tasmanian Industry

Sense–T is an innovative and ground–breaking project, introducing advanced sensor technology and data analytics to Tasmanian businesses. The main mission of Sense–T is to enhance evidence–based business decision–making for a wide range of industries.

Sense–T has completed 25 projects valued at $13 million and is already working on new projects including the development of telemetry solutions using new technologies and predictive modelling. A total of 160 researchers from the University of Tasmania, CSIRO, and interstate and international universities have worked collaboratively on the projects.

Director of Sense–T at the University of Tasmania, Associate Professor Stephen Cahoon, says there continues to be significant project outcomes for various industries.

“Sense–T is helping farmers to improve their produce; providing the wine industry with better insights into understanding disease; helping the timber industry to increase efficiency and gain higher value outputs; and improving environmental practices in the salmon industry,” he says.

“Sense T is also providing helpful insights to the health and tourism industries by tracking the movements of tourists in Tasmania to gain industry insights and enhance visitor experience; and improving the quality of life for asthma sufferers through monitoring air quality.”

“From these diverse projects, Sense–T has been able to create societal, economic, and environmental benefits,” says Associate Professor Cahoon.

One of the key outcomes for Sense–T is how their successful projects can help to inform other industries and be used by other sectors within Tasmania’s business environment.

“As a result of the outcomes from Sense–T’s projects, Tasmania industries have improved their decision making, underpinned by evidence that previously was unable to be collected. Our journey has enabled people to have confidence in what sensor technology and data analytics can achieve.”

Sense–T has a wide range of technology and technical expertise that use the capabilities of image recognition, machine learning, artificial intelligence and visualisation tools.

“Sense–T is currently undertaking more work with machine learning and trend predictions. If we can predict future trends and conditions, we can, for example, improve preventive maintenance, pinpoint harvest dates, and optimise transport and logistics needs,”
says Associate Professor  Cahoon.

With funding from the Federal Government, Sense–T is a partnership between the Tasmanian Government, CSIRO and the University of Tasmania.