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Intelligent beehive monitoring system based on internet of things and colony state analysis

Keywords: Bee Internet of things Object detection Multi-object tracking Environmental monitoring Bees play a crucial role in terrestrial ecosystems. However, beekeepers are unable to monitor the state of bee­ hives (bees and environment) all the time, which often results in bees escaping or even dying. Currently, some researchers provided the scheme of intelligent beehive monitoring system equipped with the Internet of Things (IoT), There remain two challenges: accurately monitor the environmental status around the hive and accurately track and monitor bees in real time. With the development of the IoT and computer vision algorithms, we hope to provide an automated and efficient system to meet the above challenges. In this paper, we proposed a hive monitoring system, and build a visualization module in the cloud to monitor the activity of bee colonies and the environmental dynamic.

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Publication details

Authors
Yiyao Zheng
Organizations
🇲🇾 Universiti Teknologi MARA🇨🇳 Peking University Shenzhen Graduate School🇨🇳 Xiamen University🇨🇳 Fujian Agriculture And Forestry University🇨🇳 Quanzhou University of Information Engineering
Year
2024
Type
Journal

Relevancy to Gratheon

This paper is relevant to Gratheon because it informs camera-based hive-scanner and computer-vision models, sensor hardware, telemetry pipelines, and monitoring dashboards. 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.