Humbug II research

Aims and Objectives

Humbug II aims to create a mobile acoustic sensing system suitable to monitor, analyse, and report invasive insect species’ occurrences and their impact in local biodiversity. It will develop an end-to-end system, covering data collection, processing, analysis, and visualisation, which will be validated by two pilot applications (Asian hornet and Asian tiger mosquito) and facilitate agile development and expansion for new biodiversity acoustic sensing applications.

Specifically, objectives include to:

  • develop a new cross-platform mobile application with on-device machine learning models for smart sensing and recording to support effective data storage and transfer.
  • enhance the data / model operability between devices and the cloud to optimise the use of limited on-device power and hardware resources and scale to 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, while enhancing trust in machine learning models trained with crowdsourced citizen science data.
  • deliver new collaborations with stakeholders to understand their needs and test the capabilities of the system to monitor invasive insect species.
  •  
hornet cycle