This project proposes implementation of precision agriculture technologies and methods in the beekeeping. Precision agriculture approach is adapted for beekeeping based on the various measurements of individual bee colonies all year around thus detecting different states of colonies and apiaries enabling rapid reaction by the beekeeper in case of necessity. Digital measurements such as temperature, humidity, audio and video can be used to detect several states of a bee colony: swarming, broodless stage, brood rearing, illness. Lots of separated scientific research has been done with this techniques related to bee biology, but they have never been combined to develop a apicultural health observation and warning system.
Project partners:
Department of Computer Systems
Department of Molecular Biology & Genetics
Department of Agricultural Engineering
Signal Processing and Control Group