Research library

Advances in Beehive Monitoring Systems: Low-Cost Integrating Sensor Technology for Improved Apiculture Management

The integration of monitoring systems in beekeeping has significant implications for the health and sustainability of honeybee colonies. These advanced systems, which include sensors for temperature, humidity, hive weight, and sound analysis, allow for real-time tracking of hive conditions, enabling beekeepers to respond promptly to potential threats such as disease, pests, or environmental stressors. Research shows that such technology can lead to improved colony management, reducing the incidence of colony collapse disorder (CCD) by facilitating early intervention. Additionally, continuous data collection helps in identifying patterns and anomalies in hive behavior, contributing to a better understanding of bee biology and environmental interactions. However, the effectiveness of these systems depends on the accuracy of the data collected and the beekeeper's ability to interpret and act upon this.

Publication details

Authors
Hunor Bartos, Bodor Zsolt, Keresztesi Ágnes, Gârbacea George, György Deak, Monica Matei, Laslo Lucian, Boboc Madalina, Elena H., Szép Róbert
Organizations
🇷🇴 Research and Development Institute for Wildlife and Mountain Resources Miercurea Ciuc🇷🇴 Sapientia Hungarian University of Transylvania🇷🇴 National Institute for Research and Development in Environmental Protection🇷🇴 National Institute for Research and Development in Forestry Marin Dracea
Year
2024
Type
Journal

Relevancy to Gratheon

This paper is relevant to Gratheon because it informs sensor hardware, telemetry pipelines, and monitoring dashboards, product strategy and competitive research mapping. Its methods and findings can be translated into product requirements for reliable field deployments: what should be sensed, how signals should be interpreted, and which uncertainty or validation limits need to be surfaced to beekeepers. For Gratheon, the work is most useful as an evidence-backed design reference for connecting local hive observations with actionable recommendations in the web app while keeping hardware practical for remote apiaries.