A colony of honey bees multiplies by swarming which may cause trouble and loss of revenue to the beekeeper. Beekeepers prevent the prime swarm in various ways. This, however, does not stop the swarming behavior. During the swarming period, the hive will produce characteristic audible signals among which are the sounds of an emerged young virgin queen that we call tooting.
In this thesis, based on our audio recordings from the hives, we developed a program that detects tooting signals. The recordings were collected from Alberti-Žnidaršič hives populated with Apis mellifera carnica. We tested the program on aforementioned recordings and evaluated its performance. We conclude that the algorithm is reliable and fast enough to be used in real time applications.
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