Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

A Low-cost, Low-power, Multisensory Device and Multivariable Timeseries Prediction for Beehive Health Monitoring.

Version 1 : Received: 19 December 2022 / Approved: 21 December 2022 / Online: 21 December 2022 (01:28:28 CET)

A peer-reviewed article of this Preprint also exists.

Rigakis, I.; Potamitis, I.; Tatlas, N.-A.; Psirofonia, G.; Tzagaraki, E.; Alissandrakis, E. A Low-Cost, Low-Power, Multisensory Device and Multivariable Time Series Prediction for Beehive Health Monitoring. Sensors 2023, 23, 1407. Rigakis, I.; Potamitis, I.; Tatlas, N.-A.; Psirofonia, G.; Tzagaraki, E.; Alissandrakis, E. A Low-Cost, Low-Power, Multisensory Device and Multivariable Time Series Prediction for Beehive Health Monitoring. Sensors 2023, 23, 1407.

Abstract

We present a custom platform that integrates data from several sensors measuring synchronously different variables of the beehive and wirelessly transmits all measurements to a cloud server. There is a rich literature on beehive monitoring. The choice of our work is not to use ready platforms such as Arduino and Raspberry Pi and to present a low cost and power solution for long term monitoring. We integrate sensors that are not limited to the typical toolbox of beehive monitoring such as gas, vibrations and bee counters. The synchronous sampling of all sensors every 5 minutes allows us to form a multivariable timeseries that serves two-ways: a) it provides immediate alerting in case a measurement exceeds predefined boundaries that are known to characterize a healthy beehive, and b) based on historical data predict future levels that are correlated with hive’s health. Finally, we demonstrate the benefit of using additional regressors in the prediction of the variables of interest. The database, the code and a video of the vibrational activity of two months are made open to the interested readers.

Keywords

apis mellifera; beehive monitoring; remote sensing; time-series prediction

Subject

Engineering, Electrical and Electronic Engineering

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