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...
Main Authors: | Michael-Thomas Ramsey, Martin Bencsik, Michael Ian Newton, Maritza Reyes, Maryline Pioz, Didier Crauser, Noa Simon Delso, Yves Le Conte |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Publishing Group
2020-06-01
|
Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-020-66115-5 |
Similar Items
-
Honeybee Colony Vibrational Measurements to Highlight the Brood Cycle.
by: Martin Bencsik, et al.
Published: (2015-01-01) -
Colony adaptive response to simulated heat waves and consequences at the individual level in honeybees (Apis mellifera)
by: Célia Bordier, et al.
Published: (2017-06-01) -
Long-term trends in the honeybee 'whooping signal' revealed by automated detection.
by: Michael Ramsey, et al.
Published: (2017-01-01) -
Correction: Long-term trends in the honeybee 'whooping signal' revealed by automated detection.
by: Michael Ramsey, et al.
Published: (2017-01-01) -
Honeybee lifespan: the critical role of pre-foraging stage
by: Alberto Prado, et al.
Published: (2020-11-01)