Precision Apiculture with Artificial Intelligence: A Survey of Methods, Tools, and Future Directions

This survey reviews artificial intelligence applications in beekeeping, including computer-vision disease diagnostics, acoustic colony monitoring and video-based behavioral analysis. It discusses research tools and commercial implementations alongside bio-inspired optimization methods. The authors identify limited datasets, weak generalization, infrastructure requirements and cost as barriers to adoption, particularly for smaller beekeeping operations. The review maps opportunities for combining sensing and AI with sustainable colony management rather than presenting a new experimentally validated monitoring model.

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Publication details

Authors
Wojciech Staszewski, Aleksejs Zacepins
Organizations
🇵🇱 AGH University of Krakow🇱🇻 Latvia University of Life Sciences and Technologies
Year
2026
Type
Review

Relevancy to Gratheon

This review is useful for mapping Gratheon's research backlog across Varroa diagnostics, entrance behavior, audio monitoring and multi-sensor systems. Co-author Aleksejs Zacepins belongs to a precision-beekeeping team already represented in the collection. The bibliography and tool inventory provide focused citation trails, while the discussion of generalization and deployment constraints can inform requirements for field trials.

Evidence and limitations

Treat this as a survey and discovery aid, not a benchmark proving the accuracy of the systems it mentions. Its Artificial Bee Colony optimization discussion is not itself evidence of an implemented hive-monitoring method. Individual tool, dataset and performance claims should be checked against their original papers before product adoption.

Reproducibility and provenance

The review identifies projects and research tools, but does not introduce a new codebase, benchmark dataset or validated detector. Publisher and Crossref metadata agree on online publication on 29 August 2026, in volume 55, issue 350, pages 79-97.

The abstract field is a curator-written summary, not a verbatim quotation.

Sources and access

The verified publisher PDF is openly available under CC BY-NC-ND 3.0. It was downloaded and parsed for review, but is linked externally rather than mirrored because commercial redistribution permission has not been established. The abstract above is an original curator summary.