Effective Searching for the Honeybee Queen in a Living Colony

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F24%3A00381290" target="_blank" >RIV/68407700:21230/24:00381290 - isvavai.cz</a>

Alternative codes found

RIV/68407700:21730/24:00381290

Result on the web

<a href="https://doi.org/10.1109/CASE59546.2024.10711366" target="_blank" >https://doi.org/10.1109/CASE59546.2024.10711366</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/CASE59546.2024.10711366" target="_blank" >10.1109/CASE59546.2024.10711366</a>

Result language

angličtina

Original language name

Effective Searching for the Honeybee Queen in a Living Colony

Original language description

Despite the importance of honeybees as pollinators for the entire ecosystem and their recent decline threatening agricultural production, the dynamics of the living colony are not well understood. In our EU H2020 RoboRoyale project, we aim to support the pollination activity of the honeybees through robots interacting with the core element of the honeybee colony, the honeybee queen. In order to achieve that, we need to understand how the honeybee queen behaves and interacts with the surrounding worker bees. To gather the necessary data, we observe the queen with a moving camera, and occasionally, we instruct the system to perform selective observations elsewhere. In this paper, we deal with the problem of searching for the honeybee queen inside a living colony. We demonstrate that combining spatio-temporal models of queen presence with efficient search methods significantly decreases the time required to find her. This will minimize the chance of missing interesting data on the infrequent behaviors or queen-worker interactions, leading to a better understanding of the queen's behavior over time. Moreover, a faster search for the queen allows the robot to leave her more frequently and gather more data in other areas of the honeybee colony.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/EH22_008%2F0004590" target="_blank" >EH22_008/0004590: Robotics and advanced industrial production</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

2024 IEEE 20th International Conference on Automation Science and Engineering (CASE)

ISBN

979-8-3503-5851-3

ISSN

2161-8070

e-ISSN

2161-8089

Number of pages

8

Pages from-to

3675-3682

Publisher name

IEEE Xplore

Place of publication

—

Event location

Bari

Event date

Aug 28, 2024

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

001361783103020