Abstract
This work describes the system and methods of data analysis we use for beehive monitoring. We present overview of the hardware infrastructures used in hive monitoring systems and we describe algorithms used for analysis of this kind of data. Based on acquisited signals we construct the application that is capable to detect an absence of honey bee queen. We describe our method of signal analysis and present results that allow us to drown conclusions on honey bee behaviour.
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Notes
- 1.
Arnia system: www.arnia.co.uk, access 10 Sep 2017.
- 2.
BuzzBox: www.osbeehives.com, access 10 Sep 2017.
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Acknowledgments
This work has been supported partially by COST project CA15118 “Mathematical and Computer Science Methods for Food Science and Industry” and founds of the Department of Computer Architecture, Faculty of Electronics, Telecommunications and Informatics, Gdańsk University of Technology.
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Cejrowski, T., Szymański, J., Mora, H., Gil, D. (2018). Detection of the Bee Queen Presence Using Sound Analysis. In: Nguyen, N., Hoang, D., Hong, TP., Pham, H., Trawiński, B. (eds) Intelligent Information and Database Systems. ACIIDS 2018. Lecture Notes in Computer Science(), vol 10752. Springer, Cham. https://doi.org/10.1007/978-3-319-75420-8_28
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