Prediction of honeybee swarms using audio signals and convolutional neural networks

Stenford Ruvinga; Gordon Hunter; Jean-Christophe Nebel; Olga Duran

doi:10.3233/AISE220032

Prediction of honeybee swarms using audio signals and convolutional neural networks

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Abstract

Honeybees are of vital importance to both agriculture and ecology. Unfortunately, their populations have been in serious decline over recent years. Swarms from hives are both of great importance to wider success of a colony and of major significance to beekeepers. In this paper, we contribute to the challenge of predicting when a swarm is going to occur. We have employed a Convolutional Neural Network (CNN) approach applied to audio data recorded from hives. Our initial results are extremely encouraging, since they allow us to distinguish hives which are preparing to swarm from those which are not with high levels of accuracy.

Original language	English
Title of host publication	Published in: Alvarez Valera, Humberto Hernan and Luštrek, Mitja (eds.) (2022) Workshops at 18th International Conference on Intelligent Environments (IE2022). Amsterdam, Netherlands : IOS Press BV. pp.146-154. (Ambient Intelligence and Smart Environments, volume 31) ISSN (print) 1875-4163 ISSN (online) 1875-4171 ISBN (print) 9781643682860 ISBN (online) 9781643682877.
DOIs	https://doi.org/10.3233/AISE220032
Publication status	Published - Jun 2022

Bibliographical note

Note: Published in: Alvarez Valera, Humberto Hernan and Luštrek, Mitja (eds.) (2022) Workshops at 18th International Conference on Intelligent Environments (IE2022). Amsterdam, Netherlands : IOS Press BV. pp.146-154. (Ambient Intelligence and Smart Environments, volume 31) ISSN (print) 1875-4163 ISSN (online) 1875-4171 ISBN (print) 9781643682860 ISBN (online) 9781643682877.

Keywords

Agriculture, veterinary and food science

Access to Document

10.3233/AISE220032

Hunter-G-51606-VoRFinal published version, 257 KBLicence: CC BY-NC

https://doi.org/10.3233/AISE220032

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Ruvinga, S., Hunter, G., Nebel, J.-C., & Duran, O. (2022). Prediction of honeybee swarms using audio signals and convolutional neural networks. In Published in: Alvarez Valera, Humberto Hernan and Luštrek, Mitja (eds.) (2022) Workshops at 18th International Conference on Intelligent Environments (IE2022). Amsterdam, Netherlands : IOS Press BV. pp.146-154. (Ambient Intelligence and Smart Environments, volume 31) ISSN (print) 1875-4163 ISSN (online) 1875-4171 ISBN (print) 9781643682860 ISBN (online) 9781643682877. https://doi.org/10.3233/AISE220032

Ruvinga, Stenford ; Hunter, Gordon ; Nebel, Jean-Christophe et al. / Prediction of honeybee swarms using audio signals and convolutional neural networks. Published in: Alvarez Valera, Humberto Hernan and Luštrek, Mitja (eds.) (2022) Workshops at 18th International Conference on Intelligent Environments (IE2022). Amsterdam, Netherlands : IOS Press BV. pp.146-154. (Ambient Intelligence and Smart Environments, volume 31) ISSN (print) 1875-4163 ISSN (online) 1875-4171 ISBN (print) 9781643682860 ISBN (online) 9781643682877.. 2022.

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abstract = "Honeybees are of vital importance to both agriculture and ecology. Unfortunately, their populations have been in serious decline over recent years. Swarms from hives are both of great importance to wider success of a colony and of major significance to beekeepers. In this paper, we contribute to the challenge of predicting when a swarm is going to occur. We have employed a Convolutional Neural Network (CNN) approach applied to audio data recorded from hives. Our initial results are extremely encouraging, since they allow us to distinguish hives which are preparing to swarm from those which are not with high levels of accuracy.",

keywords = "Agriculture, veterinary and food science",

author = "Stenford Ruvinga and Gordon Hunter and Jean-Christophe Nebel and Olga Duran",

note = "Note: Published in: Alvarez Valera, Humberto Hernan and Lu{\v s}trek, Mitja (eds.) (2022) Workshops at 18th International Conference on Intelligent Environments (IE2022). Amsterdam, Netherlands : IOS Press BV. pp.146-154. (Ambient Intelligence and Smart Environments, volume 31) ISSN (print) 1875-4163 ISSN (online) 1875-4171 ISBN (print) 9781643682860 ISBN (online) 9781643682877.",

year = "2022",

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booktitle = "Published in: Alvarez Valera, Humberto Hernan and Lu{\v s}trek, Mitja (eds.) (2022) Workshops at 18th International Conference on Intelligent Environments (IE2022). Amsterdam, Netherlands : IOS Press BV. pp.146-154. (Ambient Intelligence and Smart Environments, volume 31) ISSN (print) 1875-4163 ISSN (online) 1875-4171 ISBN (print) 9781643682860 ISBN (online) 9781643682877.",

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Ruvinga, S, Hunter, G , Nebel, J-C & Duran, O 2022, Prediction of honeybee swarms using audio signals and convolutional neural networks. in Published in: Alvarez Valera, Humberto Hernan and Luštrek, Mitja (eds.) (2022) Workshops at 18th International Conference on Intelligent Environments (IE2022). Amsterdam, Netherlands : IOS Press BV. pp.146-154. (Ambient Intelligence and Smart Environments, volume 31) ISSN (print) 1875-4163 ISSN (online) 1875-4171 ISBN (print) 9781643682860 ISBN (online) 9781643682877.. https://doi.org/10.3233/AISE220032

Prediction of honeybee swarms using audio signals and convolutional neural networks. / Ruvinga, Stenford; Hunter, Gordon ; Nebel, Jean-Christophe et al.
Published in: Alvarez Valera, Humberto Hernan and Luštrek, Mitja (eds.) (2022) Workshops at 18th International Conference on Intelligent Environments (IE2022). Amsterdam, Netherlands : IOS Press BV. pp.146-154. (Ambient Intelligence and Smart Environments, volume 31) ISSN (print) 1875-4163 ISSN (online) 1875-4171 ISBN (print) 9781643682860 ISBN (online) 9781643682877.. 2022.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N1 - Note: Published in: Alvarez Valera, Humberto Hernan and Luštrek, Mitja (eds.) (2022) Workshops at 18th International Conference on Intelligent Environments (IE2022). Amsterdam, Netherlands : IOS Press BV. pp.146-154. (Ambient Intelligence and Smart Environments, volume 31) ISSN (print) 1875-4163 ISSN (online) 1875-4171 ISBN (print) 9781643682860 ISBN (online) 9781643682877.

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N2 - Honeybees are of vital importance to both agriculture and ecology. Unfortunately, their populations have been in serious decline over recent years. Swarms from hives are both of great importance to wider success of a colony and of major significance to beekeepers. In this paper, we contribute to the challenge of predicting when a swarm is going to occur. We have employed a Convolutional Neural Network (CNN) approach applied to audio data recorded from hives. Our initial results are extremely encouraging, since they allow us to distinguish hives which are preparing to swarm from those which are not with high levels of accuracy.

AB - Honeybees are of vital importance to both agriculture and ecology. Unfortunately, their populations have been in serious decline over recent years. Swarms from hives are both of great importance to wider success of a colony and of major significance to beekeepers. In this paper, we contribute to the challenge of predicting when a swarm is going to occur. We have employed a Convolutional Neural Network (CNN) approach applied to audio data recorded from hives. Our initial results are extremely encouraging, since they allow us to distinguish hives which are preparing to swarm from those which are not with high levels of accuracy.

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M3 - Conference contribution

BT - Published in: Alvarez Valera, Humberto Hernan and Luštrek, Mitja (eds.) (2022) Workshops at 18th International Conference on Intelligent Environments (IE2022). Amsterdam, Netherlands : IOS Press BV. pp.146-154. (Ambient Intelligence and Smart Environments, volume 31) ISSN (print) 1875-4163 ISSN (online) 1875-4171 ISBN (print) 9781643682860 ISBN (online) 9781643682877.

ER -

Ruvinga S, Hunter G , Nebel JC , Duran O. Prediction of honeybee swarms using audio signals and convolutional neural networks. In Published in: Alvarez Valera, Humberto Hernan and Luštrek, Mitja (eds.) (2022) Workshops at 18th International Conference on Intelligent Environments (IE2022). Amsterdam, Netherlands : IOS Press BV. pp.146-154. (Ambient Intelligence and Smart Environments, volume 31) ISSN (print) 1875-4163 ISSN (online) 1875-4171 ISBN (print) 9781643682860 ISBN (online) 9781643682877.. 2022 doi: 10.3233/AISE220032

Prediction of honeybee swarms using audio signals and convolutional neural networks

Abstract

Bibliographical note

Keywords

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Prediction of honeybee swarms using audio signals and convolutional neural networks

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