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