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

ABSTRACT: 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

SUBMITTER: Blut C 

PROVIDER: S-EPMC5732155 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature