Sensor-based Behavior Analysis and Modeling for the Honeybee Superorganism: a Platform
Résumé
For the last twenty years, the mortality of honeybee
colonies has been increasing and is now a major concern for
biologists. There have been a number of hypotheses put forth
in the literature, including hives’ infestation with parasites like
Varroa destructor, the appearance of new predators like Asian
hornets (Vespa Velutina) or small hive beetles and widespread use
of pesticides. In addition, climate and environmental changes are
modifying the honeybee’s interaction with its ecosystem. Last
works suggest that this mortality could be due not to a single
reason, but to a convergence of stress factors.
This article presents the development of an experimental
platform dedicated to track the honeybee colony (Apis mellifera)
health in parallel with the quantification of the main environmental
stressors. Our main objective is to provide biologists with a
paraphernalia that is primarily based on motion analyses with
different sensors inside and outside the hive for the study of
bees’ behavior at both individual (the bee) as well as a colony (the
superorganism) scales. The aim is to create a reference dataset of
behaviors associated with environmental factors in both normal
and stressful environments.
Domaines
Informatique [cs]Origine | Fichiers produits par l'(les) auteur(s) |
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