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A sensor driven approach to assessing health in honey bee colonies

This project aims to optimise honey bee colony health by developing low-cost sensor arrays. The supervisory team for this project also includes Dr Ash Rahman (Data61) and Dr Jo more...

Supervisor(s): Latty, Tanya (Dr)

New technologies for detecting, counting and identifying pollinators in the field

This project will leverage advances in image processing and machine learning to develop new techniques for high throughput sampling of pollinator populations in crops.  Th more...

Supervisor(s): Latty, Tanya (Dr)

Remote monitoring solutions for beef cattle welfare and productivity

The focus of this PhD will be to develop and evaluate innovative methods to capture, analyse and optimise data derived from a range of technologies and sensors to optimise beef catt more...

Supervisor(s): Clark, Cameron Edward Fisher (Associate Professor), Garcia, Sergio (Yani) (Professor)

Advanced sensor and data analytics in pasture-based dairy systems

The focus of this PhD will be to develop and evaluate innovative methods to capture, analyse and optimise data derived from a range of technologies and sensors to optimise individua more...

Supervisor(s): Garcia, Sergio (Yani) (Professor), Clark, Cameron Edward Fisher (Associate Professor)

Advanced orchard mapping systems using robotics, sensing and perception

The aim of the project is to research and develop intelligent orchard mapping systems that provide timely, high resolution data to support farm management. more...

Supervisor(s): Underwood, James (Dr)

Cognitive Radio for for Green Internet of Things

The internet-of-things (IoT) is becoming an essential technology to support the revolution of various vertical sectors, such as agriculture, industry, energy, healthcare, and transp more...

Supervisor(s): Liang, Ying-Chang (Professor)

Backscatter Communications for Green Internet of Things

The internet-of-things (IoT) is becoming an essential technology to support the revolution of various vertical sectors, such as agriculture, industry, energy, healthcare, and transp more...

Supervisor(s): Liang, Ying-Chang (Professor)

Mycoviruses of rust pathogens

Most if not all rust species that have been studied to date carry mycovisues. The role of these hyperparasites is not understood at all. The project will undertake sequencing of myc more...

Supervisor(s): Park, Robert (Professor)

Phylogenetics of rust pathogens

There are about 7,000 rust species, some of which are among the most damaging of all plant pathogens. Using genome sequencing and transcriptome analysis, this project will contribut more...

Supervisor(s): Park, Robert (Professor)

Genomics of rust pathogens

The cereal rust pathogens are among the most damaging of all plant pathogens. Using genome sequencing and transcriptome analysis, this project will examine how rust pathogens establ more...

Supervisor(s): Park, Robert (Professor)