Range of digital technologies
Robotic Systems or Smart Machines
During the development of this test case, two end-users will be deployed. More specifically, two beekeepers (private farmers) having around 50-200 hives each. These are the beekeepers representing an average end-user in Lithuania. The choice of two end-users will depict more accurately the results of the use of the technologies and tools provided by ART21.
Beehive protection and monitoring system is delivered as a service, provided to beekeepers as end-users. The system installed in the beekeeper's hive (autonomous, sensory device) is connected to the central server. The system continuously collects data on the situation in the hive - ambient and hive temperature, hive humidity, acoustic signals. This data is transferred to a central server and processed. The beekeeper is able to access the system using a web browser and see all the information related to the hive. Based on this information, it is possible to identify threats to the family and anticipate possible events: the possibility of swarm formation, the loss of the queen bee, cases of assault of the bee colony, assessment of bee health, etc. Also, notifications inform the beekeeper of sudden changes in temperature, humidity or sound in specific ranges. Such tools and technologies ensure the protection of bee colonies, which in turn increases the efficiency of farms. In this TC, beehives in one site will be equipped with beehive monitoring and protection providing real-time data and recommendations to the beekeeper and the second site will be managed by traditional means (ex. manual inspections performed).
The objectives of the use case are to promote the implementation of innovative solutions for the protection and monitoring of beehives, and thus to ensure effective care of bee colonies, sustainable agricultural development, and improve the environment. The aim of leveraging the beehive protection system is because it provides accurate information on the condition of hives (accuracy), it increases the efficiency of beekeeping, reduces losses of bee colonies, increases production yield (economy) and based on the information provided by the system, beekeepers are able to protect their bee colonies, thus reducing the negative impact on the environment and improving the quality of production (environmental).