Giving Beekeeping Guidance by cOmputatiOnal-assisted Decision making
B-GOOD will pave the way towards healthy and sustainable beekeeping within the European Union by following a collaborative and interdisciplinary approach. Merging data from within and around beehives as well as wider socioeconomic conditions, B-GOOD will develop and test innovative tools to perform risk assessments according to the Health Status Index (HSI).
B-GOOD has the overall goal to provide guidance for beekeepers and help them make better and more informed decisions.
B-GOOD's platform will utilise and further expand the open source BEEP system comprised of a monitoring device and the already functional user-friendly application for digital beekeeping logbooks.
Six B-GOOD developed technologies will feed real-time data into the platform
honeybee vibrations-based accelerometers to produce long term statistics;
gas and
spatially resolved temperature
measurements;
spatially resolved temperature
measurements;
automated bee counters
(hive mortality rates, pollen flow,
drone/worker discrimination);
(hive mortality rates, pollen flow,
drone/worker discrimination);
sensors to
detect pesticide
residues;
detect pesticide
residues;
devices to
detect honey bee viruses of high health
relevance;
detect honey bee viruses of high health
relevance;
analytical tool
for genetic
imprint.
for genetic
imprint.
Latest from the project
First B-GOOD workshop about new technologies for beekeeping
On 26 May B-GOOD held its workshop about new technologies for beekeeping. The event titled "Hands-on neonicotinoid detection using the dual-channel neonicotinoid lateral... read more
The Second B-GOOD Newsletter is out!
The B-GOOD annual newsletter had its second issue published to accomodate news about our second year, where new publications, technology development &... read more
B-GOOD research on the application of qPCR technology for detection of genetic resistance against Varroa
A methodology article recently published in the journal BMC Veterinary Research analyses the application of the qPCR technology for detection of genetic resistance against... read more