In their latest publication in IEEE Access, Sebastian Górecki, Prof. Sławomir Hausman, and Prof. Piotr Korbel from the Institute of Electronics at Lodz University of Technology, together with Prof. James Brusey from Coventry University, demonstrate how smart sensors and data analysis can be used to monitor beehives.
The researchers analysed more than 1.6 million measurements from 116 beehives across several European countries, including hive weight, temperature, humidity, and sounds produced by the bees.
🔋 The study showed that simple analytical models can run directly on a small microcontroller, performing calculations very quickly while consuming minimal energy. This means that some data can be analysed locally, without having to transmit it to the cloud every time.
Tests conducted on the BeeHUB Queen device, equipped with the popular ESP32 microcontroller, confirmed that lightweight analytical models can operate directly on the device, providing fast calculations with very low energy consumption. This approach can reduce the need to transmit data to the cloud, increase the system’s resilience to connectivity interruptions, and enable rapid analysis and response directly where measurements are collected. It opens up new possibilities for developing autonomous, energy-efficient monitoring systems operating in the field.
The solution has potential applications not only in modern beekeeping, but also in agriculture and environmental monitoring.
📖 We encourage you to read the full article:
Sebastian Górecki, Sławomir Hausman, Piotr Korbel, James Brusey, „A Large-Scale IoT Telemetry Framework for Edge-Aware Forecasting and Diagnostic State Tracking in Precision Apiculture”, IEEE Access, vol. 14, 2026, pp. 138619–138641.
DOI: 10.1109/ACCESS.2026.3731411
https://ieeexplore.ieee.org/document/11683442
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