Automatic beekeeping method

By deploying automated systems of mobile robots and cloud servers in the apiary, the problems of high labor intensity and inaccurate status judgments in traditional beekeeping are solved, and real-time monitoring and efficient management of bee colonies are achieved.

CN120458066AInactive Publication Date: 2025-08-12QINGDAO TECHCAL UNIV QINDAO COLLEGE
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Patent Information

Application Number
CN202510888112.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-06-30
Publication Date
2025-08-12
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

Traditional beekeeping methods rely on manual operations, and the labor intensity is high and it is difficult to grasp the bee colony status in real time and comprehensively, resulting in inaccurate judgment of health status and a decrease in honey production.

Method used

Mobile robots are used to move in the beeyard, collect data and transmit it to the cloud server, use computer vision and GPS positioning to conduct beehive inspection and honey collection, combine LSTM neural network for health assessment and production prediction, and realize remote management through mobile terminals.

Benefits of technology

It reduces the intensity of labor, improves beekeeping efficiency, reduces labor costs, and realizes real-time monitoring and management of bee colony status, which is suitable for the automated beekeeping process of conventional bee farms.

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Abstract

The invention discloses an automatic bee-keeping method which comprises the following steps: S1, planning a bee farm area, and arranging honeycombs in a bee farm; s2, the mobile robot moves in the bee yard, collects honeycomb data in the bee yard and transmits the honeycomb data to the cloud server; s3, performing health assessment and production prediction on the multi-bee-field data based on the data obtained in the S2; s4, the cloud server transmits a control instruction to the mobile robot, beehive inspection and honey taking are executed based on computer vision and GPS positioning, and information is transmitted to the cloud server; and S5, transmitting the inspection and honey taking results to the management end through the mobile terminal. Compared with the prior art, the automatic bee-keeping method has the advantages that the automatic bee-keeping method is convenient to popularize and suitable for being applied to a conventional bee farm, automatic bee-keeping process monitoring can be effectively carried out, and routing inspection and honey taking are achieved.
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