「ブザーを鳴らして」小さなQRコードをつけたミツバチが巣の秘密を明かす(‘Buzz me in:’ Bees wearing itty bitty QR codes reveal hive secrets)

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2025-01-22 ペンシルベニア州立大学(PennState)

ペンシルバニア州立大学の研究チームは、働き蜂の背中に小型QRコードを装着し、巣からの出入りを追跡する新技術を開発しました。このシステムは、自動画像認識技術を使用して、各蜂の外出時間や行動パターンを記録し、従来の人間による観察を超えるデータを提供します。研究により、多くの蜂が数分から20分程度で巣に戻る一方、一部の蜂は2時間以上外にいることが判明しました。この技術は、蜂の採餌距離や行動、生態研究の精度向上に役立つと期待されています。

<関連情報>

オープンソースの無線プラットフォームとフィデューシャル・タグを使用した、ミツバチの採餌旅行を調査するための自動入口モニタリング Automated entrance monitoring to investigate honey bee foraging trips using open-source wireless platform and fiducial tags

Diego Penaloza-Aponte∙ Sarabeth Brandt∙ Erin Dent∙ … ∙ Selina Bruckner∙ Margarita M. López-Uribe∙ Julio V. Urbina
HardwareX  Published:November 28, 2024
DOI:https://doi.org/10.1016/j.ohx.2024.e00609

Graphical abstract

「ブザーを鳴らして」小さなQRコードをつけたミツバチが巣の秘密を明かす(‘Buzz me in:’ Bees wearing itty bitty QR codes reveal hive secrets)

Abstract

Honey bee foraging is a complex behavior because it involves tens of thousands of organisms making decisions about where to collect pollen and nectar based on the quality of resources and the distance to flowers. Studying this aspect of their biology is possible through direct observations but the large number of individuals involved in this behavior makes the implementation of technologies ideal to scale up this type of study. Consequently, there is a need for instruments that can facilitate accurate assessments of honey bee foraging at the colony level. To address this need, this work aimed to develop an automated imaging system for monitoring the in-and-out activity of honey bee foragers as they walk through a customized entrance with a camera sensor at the hive entrance. We used AprilTags attached to each bee’s thorax to provide unique identification numbers that allowed the system to track in-and-out events throughout the foraging season of the colony. Our design relies on low-cost Raspberry Pi computers and cameras, along with commercially off-the-shelf components, making it easily reproducible with the open-source documentation provided. We successfully deployed and evaluated our system in six locations, demonstrating consistent results. In this paper, we present the details about the development of the system, data collected from multiple colonies, and post-processing analysis from one of our apiaries. Our results highlight the system’s effectiveness in monitoring honey bee trips, capturing various behaviors associate with their activities outside the colony, which lay the groundwork for future estimations of foraging distances.

生物環境工学
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