Humbug II research

Aims and Objectives

Humbug II aims to create a mobile acoustic sensing system suitable for monitoring, analysing, and reporting invasive insect species’ occurrences and thereby helping to assess their impact in local biodiversity. An end-to-end system will be developed, covering data collection, processing, analysis, and visualisation, which will be validated through two pilot applications (Asian hornet and Asian tiger mosquito) and which will facilitate the expansion of new biodiversity acoustic sensing applications.

Specifically, Humbug II objectives include to:

  • develop a new cross-platform mobile application with on-device machine learning models for smart sensing and recording of insects.
  • enhance the data / model operability between devices and the cloud to optimise the use of limited on-device power and resources to enable the acoustic detection of multiple insect species.
  • construct an automated pipeline for data post-processing and model training to streamline the process of taking machine learning models to production.
  • deliver new collaborations with stakeholders to understand their needs and test the capabilities of the system to monitor invasive insect species.

 

hornet cycle