Automated computer-based detection of encounter behaviours in groups of honeybees.

Détails

Ressource 1Télécharger: s41598-017-17863-4.pdf (1425.54 [Ko])
Etat: Serval
Version: Final published version
ID Serval
serval:BIB_7DE89F219056
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
Automated computer-based detection of encounter behaviours in groups of honeybees.
Périodique
Scientific Reports
Auteur(s)
Blut C., Crespi A., Mersch D., Keller L., Zhao L., Kollmann M., Schellscheidt B., Fülber C., Beye M.
ISSN
2045-2322 (Electronic)
ISSN-L
2045-2322
Statut éditorial
Publié
Date de publication
2017
Peer-reviewed
Oui
Volume
7
Numéro
1
Pages
17663
Langue
anglais
Résumé
Honeybees form societies in which thousands of members integrate their behaviours to act as a single functional unit. We have little knowledge on how the collaborative features are regulated by workers' activities because we lack methods that enable collection of simultaneous and continuous behavioural information for each worker bee. In this study, we introduce the Bee Behavioral Annotation System (BBAS), which enables the automated detection of bees' behaviours in small observation hives. Continuous information on position and orientation were obtained by marking worker bees with 2D barcodes in a small observation hive. We computed behavioural and social features from the tracking information to train a behaviour classifier for encounter behaviours (interaction of workers via antennation) using a machine learning-based system. The classifier correctly detected 93% of the encounter behaviours in a group of bees, whereas 13% of the falsely classified behaviours were unrelated to encounter behaviours. The possibility of building accurate classifiers for automatically annotating behaviours may allow for the examination of individual behaviours of worker bees in the social environments of small observation hives. We envisage that BBAS will be a powerful tool for detecting the effects of experimental manipulation of social attributes and sub-lethal effects of pesticides on behaviour.

Pubmed
Web of science
Open Access
Oui
Création de la notice
08/01/2018 9:00
Dernière modification de la notice
08/05/2019 20:58
Données d'usage