The prediction of swarming in honeybee colonies using vibrational spectra

Abstract 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 accelero...

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Auteurs principaux: Michael-Thomas Ramsey, Martin Bencsik, Michael Ian Newton, Maritza Reyes, Maryline Pioz, Didier Crauser, Noa Simon Delso, Yves Le Conte
Format: article
Langue:EN
Publié: Nature Portfolio 2020
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Accès en ligne:https://doaj.org/article/60221c413d164242b3b09b8b70fddf30
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