Save the Bees with Big Data and IoT

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The startup furnishes IoT technology for beehives to provide the beekeepers with real-time information and to prevent bee death. The Tech-Startup is supported by the Austrian Business Accelerator acccoi partners. rely on the complete solution from Microtronics which consists of hardware, software and service. is a kind of “baby-monitor” for beehives whose smart monitoring sensor system with warning functions and tailored maintenance plans supports the beekeepers around the clock with the optimal care for his hive. With the specially designed and easy to install floor scales, the health status of the bees is determined. Based on noise patterns and precision bee-keeping is made possible – without disturbing the bees. With the help of data collection and analysis future events, such as bee death, can be reliably predicted (“predictive analytics”). In this way beekeepers can take actions in advance and save their bees. In addition the beekeeper can monitor all his hives comfortably and in a timely manner from a distance around the clock.

Bees as environmental sensors

To produce 1 kilogram of honey it takes 100,000 excursions of bees. The visitation of around 14 million flowers is necessary. A single bee covers a distance from 85 kilometers on a day. With up to 70,000 bees per hive, many environmental factors are perceived by sensitive bees. From these almost endless data in the beehive, exciting information can be obtained and processed quickly as well as combined with external data for predictions.


Reference hives are set up and the beekeeper gets a message as soon as the plants are ready to give their nectar. Now beekeepers can place more beehives in this place. Through these geographic adjustments, the yield of beehives can be optimized over a year.

Heat maps are created with the Big Data approach and show places where danger to the bees is threatened and bee death is likely. But also occurrences in a single hive such as swarming can be detected early with

Internet of Things (IoT) for predictive analytics combines the chances from IoT and Big Data to identify important states and even predict possible events. Samples are only transmitted when a previously defined pattern is detected locally. uses Narrow Band IoT (NB-IoT) to transfer the data. The use of the narrow-band data transmission technology enables reliable and cost-effective transmission with low energy consumption.

Let’s meet, acccoi partners and Microtronics are at the M2M/IoT Forum CE in the Vienna City Hall (27 and 28 March). With the registration code “Microtronis-480” you receive your ticket at the amount of € 480 (instead of € 680 excl. 20% VAT).

The involved parties

acccoi partners LogoAbout acccoi partners
acccoi partners is a Business Accelerator based in Vienna, which specializes in the Corporate Accelerator programs in the later startup stage in the B2B, IT  and technology sectors. The expert team consists of the serial entrepreneurs and former Cisco manager Martin Bittner, Marcus Oppitz and Thomas Werner. Together they founded SolveDirect, which they sold in 2013 to Cisco Systems, Inc. (California).

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About Microtronics
Microtronics is a total solution provider for IoT/M2M applications. The complete solution consists of hardware, software and service to an international valid service tariff. The solutions from Microtronics impress with their individualizability. Is necessary to define the business model, including customer benefit, and revenue streams, before the technical implementation. Whether 2G, 3G, 4G, LoRa or NB-IoT Microtronics is concerned about the secure, stable and efficient capture and transmission of the data and provide it via the API.

More information at LogoAbout is a young startup that helps beekeeper to monitor their bees. With the help of modern technology the founders Elma Hot and Alija Dervic support beekeepers. Sensors are used to measure relevant parameters such as weight and heat. In addition to supplying the beekeepers with real-time information, scientific questions are prevent the death of bees by means of pattern recognition.

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