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Record W7077904939 · doi:10.5281/zenodo.16949954

Development of a rotating frame smart beehive

2025· article· en· W7077904939 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typearticle
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsnot available
Fundersnot available
KeywordsBeehiveBeekeepingFrame (networking)Product (mathematics)DroneVarroa

Abstract

fetched live from OpenAlex

As part of its development project implemented under the 2021-1.1.4-GYORSÍTÓSÁV grant, Okoskaptár Kft. has developed a unique Industry 4.0-based smart hive system that offers an epoch-making solution to the problem of global bee mortality. The aim of the project was to create a new beekeeping technology that supports the health and survival of bee colonies with automatic, digital tools, while reducing the use of chemicals and increasing pollination efficiency. The development resulted in a grid-ring frame, rotatable hive structure that uses a mechanical principle to prevent the reproduction of Varroa mites without the use of chemicals. An automatic feeding, water supply and ventilation system integrated into the hive ensures that bee colonies remain viable even in adverse weather conditions. The system is complemented by a digital hive scale, sound and temperature sensors, and a central control unit that monitors the condition of the hive and its environment in real time and intervenes automatically if necessary. The technology is based on a cloud-based communication platform that provides remote monitoring and data-driven decision-making for beekeepers. What makes the system unique is that it not only operates but also evaluates the condition of bee colonies, enabling timely and targeted interventions. The patents underlying the solution protect the smart hive technology internationally, meaning that Okoskaptár Kft. has exclusive rights to use the system in the US, Canada, Australia, New Zealand, and EU markets. The project has resulted in an innovative, marketable product that is also available in a SaaS model (rental scheme), enabling both small and large-scale beekeepers to switch to digital beekeeping. The development represents a significant step forward for the domestic and international beekeeping sector, not only in terms of technology, but also in terms of business and sustainability. The aim of the Okoskaptár development project was to create an intelligent, automated beehive technology that could help curb global bee mortality while bringing technological renewal to the beekeeping sector. The development was organized around two main technological pillars: (1) the design of a cylindrical hive structure with a grid ring frame and (2) the development of an automated control and communication system. During the project, technical and professional results were achieved along three main development milestones. Milestone 1 – Development of internal hive and mechanical innovations: In the first phase of the project, a prototype of the cylindrical hive was developed based on previous patents. The most important task was to construct grid ring nest frames that complied with the geometric parameters specified in the patent. Automated nest rotation was introduced into the hive structure, which disrupts the reproduction of Varroa mites through physical displacement. The modular structure of the cylindrical nest allows for the creation of a nest structure made of natural beeswax, optimized for biodynamic vibration. A further development was the combined hive gate, which ensures the controlled movement of bees and also removes mites. The hive's water and feed supply was also built in to ensure controlled operation. Milestone 2 – Development of control electronics and Industry 4.0 remote monitoring system: In the second phase, we developed microelectronic and sensor-based control for the smart hive. This system measures the weight, temperature, and humidity of the hives, records sound samples, and collects data on environmental conditions. The sensor network and control unit are capable of autonomously controlling the opening of the entrances, the rotation of the nest, heating, and feeding. The system communicates via a cloud-based platform, providing beekeepers with remote monitoring and intervention capabilities. During development, low energy consumption and up to 6 weeks of operation without external power supply were key considerations. Milestone 3 – Finalization, testing, and fine-tuning of the prototype: During the third milestone, the physical assembly of the system prototype, testing of its operation, and functional integration between the individual modules were carried out. Based on feedback from practical trials, modifications were made to the detection of mother protection, the closing protocols of the exits, the regulation of water and nutrient supply, and the stability of sensor data transmission. In addition, special attention was paid to ensuring that the bees did not build into the functional elements. In the final stage of the development process, we began preparing the marketable end product, including finalizing the device documentation, operating protocols, system architectures, and grant accounts. The project resulted in a novel beekeeping system that uses mechanical and information and communication tools to reduce the risk of bee mortality, enables chemical-free mite control, and lays the foundation for a new direction in beekeeping digitalization. Based on the experience gained during the development work and the test results, the solution is likely to attract significant interest not only on the domestic market but also on international markets.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0100.004

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.027
GPT teacher head0.238
Teacher spread0.211 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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