The prediction of swarming in honeybee colonies using vibrational spectra

In this work, we disclose a non-invasive method for the monitoring and predicting of the swarming process within honeybee colonies, using vibro-acoustic information. Two machine learning algorithms are presented for the prediction of swarming, based on vibration data recorded using accelerometers pl...

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Detalles Bibliográficos
Autores principales: Ramsey, Michael-Thomas, Bencsik, Martin, Newton, Michael Ian, Reyes, Maritza, Pioz, Maryline, Crauser, Didier, Delso, Noa Simon, Le Conte, Yves
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7298004/
https://www.ncbi.nlm.nih.gov/pubmed/32546693
http://dx.doi.org/10.1038/s41598-020-66115-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7298004/
https://www.ncbi.nlm.nih.gov/pubmed/32546693
http://dx.doi.org/10.1038/s41598-020-66115-5

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