This project aims to pioneer development of next generation automation technologies for pest animal control. The technology can use computer vision and machine learning algorithms coupled with artificial intelligence to develop devices which can see, think and act to target specific pest animals.


In progress


  1. Use species recognition systems to identify target species and activate a control action
  2. Use technological advances in computer science to develop new systems to improve existing pest control methods.

All applications are significant innovations that automate manual actions resulting in land manager labour savings, and paving the way for further applications across a wider cohort of pest species.

Project Leader

Dr Paul Meek
Project Partners

This project is supported by funding from the Australian Government Department of Agriculture, Water and Environment.


February 2019 update:

The etechnology hub team have been developing a number of working prototypes and refining their capabilities – this includes a feral cat tactile lure and a sentinel bait station. As with all technology this is an iterative process and considerable time and effort has been dedicated to resolving technical limitations of equipment and systems to ensure robust devices are constructed for testing.  

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