OxTalks is Changing
OxTalks will soon be transitioning to Oxford Events (full details are available on the Staff Gateway). A two-week publishing freeze is expected in early Hilary to allow all events to be migrated to the new platform. During this period, you will not be able to submit or edit events on OxTalks. The exact freeze dates will be confirmed as soon as possible.
If you have any questions, please contact halo@digital.ox.ac.uk
Tracking bees in the landscape using Bluetooth and Bayes
The field of movement ecology has benefited hugely from tags that allow animals to be tracked as they use the landscape, and such information has been vital to many conservation efforts. However, tags for tracking bees are either too heavy for the study of most species, too expensive, or are unable to function in complex environments, precluding study of bees in many natural habitats.
We have developed and deployed a prototype landscape-scale bee tracking method using rotating Bluetooth transmitters placed across a landscape and <40mg tags attached to foraging bees. Power constraints cause uncertain and noisy data, so a Gaussian Process prior is placed on the flight path, incorporating our assumptions around possible flight paths made by insect foragers. Doubly stochastic variational inference is used, which results in ‘probabilistic triangulation’ of the probable flight path the bee took.
The system has successfully tracked and inferred the movement path of foraging Bombus terrestris workers through a complex outdoor landscape. Preliminary work has begun on integrating sensors including photodiodes and accelerometers with the tags to infer behaviour alongside position, enabling biologging of flying insects for use in fields such as energetics.
Bio-sketch:
Mike Smith is a senior lecturer in Machine Learning in the School of Computer Science, at the University of Sheffield. He currently works on developing new methods for tracking small animals at a variety of scales, from lab to landscape. His focus is how Bayesian machine learning can be employed to extract as much information as possible from situations where there are substantial limitations on energy- and compute-. He is also leading a Leverhulme grant that includes the development of novel hardware, including microbatteries and on-board active learning.
Date:
12 March 2026, 14:00
Venue:
Seminar rooms 7 & 8 in the Life and and Mind Building, South Parks Road, OX1 3EL
Speaker:
Dr Michael Smith (University of Sheffield)
Organising department:
Department of Biology
Organiser contact email address:
andrea.kastner@biology.ox.ac.uk
Host:
Dr Jonathan Pattrick (University of Oxford)
Booking required?:
Not required
Audience:
Members of the University only
Editor:
Andrea Kastner