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

• Published in: 2019 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
• Language: English
• Published: IEEE 01.09.2019
• Subjects: Discrete wavelet transforms; Feature extraction; Mel frequency cepstral coefficient; Monitoring; Wavelet analysis
• ISSN: 1849-2266
• DOI: 10.1109/ISPA.2019.8868934

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.