Australian Acoustical Society
Faculty of Health, Engineering and Science
Centre for Communications and Electronics Research
Recent developments in Wireless Sensor Networks (WSNs) have led to their use in remote data acquisition and automatic data analysis applications, which have proven to be an invaluable tool in a diverse range of fields including biosecurity. Further indications have been found that honeybee health can be monitored and determined through the use of acoustic analysis. In this paper, we present a system that has the ability to remotely detect the presence of pest infestation on a colony of honeybees by comparing the acoustic fingerprint of a hive to a fingerprint of known status. This will aid the goals of increasing surveillance programs by reducing the labour time and costs that are associated with managing and maintaining monitoring programs. Other benefits of the system proposed in this article include the ability to make available a collection of deterministic, standardised and nondiscriminatory statistical data for the purpose of research into determining the causes of colony collapse disorder.