Features Extraction Applied to the Analysis of the Sounds Emitted by Honey Bees in a Beehive

Last years increase in bee mortality has underlined the necessity of an intensive bee hive monitoring in order to better understand the problems which are seriously affecting the honey bee health. Sound emitted inside a beehive is one of the key parameters for a non-invasive monitoring of their heal...

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Bibliographic Details
Published in2019 11th International Symposium on Image and Signal Processing and Analysis (ISPA) pp. 03 - 08
Main Authors Terenzi, Alessandro, Cecchi, Stefania, Orcioni, Simone, Piazza, Francesco
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2019
Subjects
Discrete wavelet transforms
Feature extraction
Mel frequency cepstral coefficient
Monitoring
Wavelet analysis
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ISSN1849-2266
DOI10.1109/ISPA.2019.8868934

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Summary:Last years increase in bee mortality has underlined the necessity of an intensive bee hive monitoring in order to better understand the problems which are seriously affecting the honey bee health. Sound emitted inside a beehive is one of the key parameters for a non-invasive monitoring of their health condition. In this context, the proposed work aims at analyzing the bees' sound introducing features extraction useful for sound classification techniques and for determine dangerous situations. Several experiments on a real scenario have been performed focusing on orphaned colony case and highlighting the potentiality of the proposed approach.
ISSN:1849-2266
DOI:10.1109/ISPA.2019.8868934