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Improved surveillance tools for key biosecurity targets (fruit flies, Gypsy moth)

Biosecurity outcome

  • Better attractive lures targeting female QFF to improve detectability of a new incursion and support eradication attempts (STOPPING in June 2020)
  • Self-reporting low-power sensors for integration into FF and GM surveillance programmes. Traps will remotely communicate instantaneous insect catch to end-users reducing labour costs and enhancing early detection. Machine learning will allow for the automatic classification of the trapped species, reducing false alerts.

Science outcome

  • Discovery of a new mix of behaviourally active compounds for attracting female QFF based on pheromone and/or kairomones (STOPPING in June 2020)
  • Creation of a library of Wing Beat Frequency (WBF) signatures for biosecurity threats used as new diagnostic tool for species identification.
  • Development of sensor technology in combination with the Internet of Things (IoT) for automatic data collection.
  • Spatially and temporally precise data for wide-area remote monitoring contributing to more accurate models of population dynamics.
  • Capability developed in data processing via machine learning for easier interpretation of complex data, easily communicable to the end-user.


‘Delta’ trap for moths

Lynfield trap for fruit flies