Summary

Precision monitoring of honey bee colonies encompasses the deployment of interconnected sensors and analytic tools to observe colony dynamics non-invasively and in real time. By tracking parameters such as hive weight, internal temperature, acoustic emissions, vibration patterns, carbon dioxide concentration and external weather variables, researchers and beekeepers gain continuous insight into colony health, foraging activity, brood development and stress responses. This data‐driven approach reduces the need for disruptive inspections, enables early detection of swarming or queen loss, and informs timely interventions to mitigate disease, nutritional deficits or environmental stressors. Advances in wireless communications, low‐power electronics and cloud computing have transformed apiary management into an integrated system that optimises resource use, enhances pollination services and supports global efforts to counteract declines in bee populations.

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Precision Monitoring of Honey Bee Colonies publication trend

The graph below shows the total number of articles in precision monitoring of honey bee colonies across all publications each year (not limited to Nature Index journals).

Technical terms

Precision beekeeping: The application of sensor technology and data analytics to manage apiaries with minimal disturbance and maximum efficiency.

Internet of Things (IoT): A network of interconnected devices that collect, transmit and analyse data remotely to support real-time decision-making.

Sensor fusion: The integration of data from multiple sensors to produce more accurate, comprehensive assessments than individual measurements alone.

Swarming: A natural reproductive process in which a portion of the colony, including the old queen and attendant workers, departs to establish a new nest.

Colony phenology: The seasonal patterns of development and activity in a bee colony, including brood rearing, forager departure and resource accumulation.

References

  1. BHiveSense: An integrated information system architecture for sustainable remote monitoring and management of apiaries based on IoT and microservices. Journal of Open Innovation: Technology, Market, and Complexity (2023).
  2. Acoustic and vibration monitoring of honeybee colonies for beekeeping-relevant aspects of presence of queen bee and swarming. Computers and Electronics in Agriculture (2023).
  3. A Smart Sensor-Based Measurement System for Advanced Bee Hive Monitoring †. Sensors (2020).
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