Application of information technologies in Precision Apiculture

Final report

Application of information technologies in Precision Apiculture

Call: ICT and Automation for a Greener Agriculture

Id: 14301

Acronym: ITApic


Tuesday, 2 May, 2017

No Partner Contact Country Total
1 Coord.Department of Computer Systems
Faculty of Information Technologies
Biosystems Group
Latvian University of Agriculture
Aleksejs ZacepinsLatvia150.0150.0Latvian Academy of Science
2Department of Molecular Biology & Genetics
Faculty of Science & Art
Faculty of Agriculture
Faculty of Engineering and Natural Sciences
Gaziosmanpasa University
Saban TekinTurkey118.8118.8Scientific and Technological Research Council of Turkey
3Department of Agricultural Engineering
Faculty of Organic Agricultural Sciences
University of Kassel
Oliver HenselGermany222.0222.0Federal Ministry of Food and Agriculture
4Signal Processing and Control Group
Electronics and Computer Engineering
Division of Mechanical Engineering
Department of Engineering
Aarhus School of Engineering
Aarhus University
Peter AhrendtDenmark251.2198.2Danish Agency for Science, Technology and Innovation
Ministry of Science, Innovation and Higher Education

Main results: 

During the project different bee colony monitoring devices was developed and tested. They included one-wire temperature monitoring system, wireless temperature system, audio and video monitoring systems. Together with hardware also software for data collection and analysis was developed. Based on collected data, several bee colony state identification (swarming, brood rearing, broodless) algorithms was developed. Decision support system for early detection of colony state change was also developed. During the project guidelines for Precision Beekeeping implementation and Smart apiary management was introduced. During the project also effectiveness and sustainability of specific bee colony wintering building was evaluated. Project results are summarized in various scientific publications.


Project results can be used by scientists and by beekeepers for development of advanced smart apiary monitoring systems. Results shows some advantages and disadvantages of different bee colony monitoring systems and methods. Smart apiary management cannot be done without application of information and communication technologies, but each individual beekeeper should define what systems he needs most. Smart apiary management should minimize the manual inspection of colonies, and maximize the colony health. Project results can be considered as a knowledge base for further improvement of the Precision Beekeeping.


Project results was disseminated in various ways. Information about the project was shown in project and partner organisation homepages. Project partners participated in different scientific conferences and congresses with oral and poster presentations.




Proposal summary: 

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.

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