Bee Swarm Detection Based on Comparison of Estimated Distributions Samples of Sound.

This paper describes a new measuring method of digital signal processing for detecting bee swarm phenomenon. The new method uses a comparison of the similarity between the estimated distribution of unknown sound samples with some estimated pattern distributions of known sound samples. The value of similarity of distributions was determined using statistical tools. The new method was tested in MATLAB and its results were compared with the results of a well-known classification method in the diagnostic space state. All calculations were made on recorded, real bee sounds. After testing in MATLAB, the method was successfully implemented in a prototype embedded system as an automated diagnostic system. The use of the method makes it possible to automatically detect the phenomenon of swarming. The authors see the possibility of using the developed method in other technical fields. [ABSTRACT FROM AUTHOR]