Behavioral variation across the days and lives of honey bees

ML Smith, JD Davidson, B Wild, DM Dormagen… - Iscience, 2022 - cell.com
In honey bee colonies, workers generally change tasks with age (from brood care, to nest
work, to foraging). While these trends are well established, our understanding of how …

The future of artificial intelligence in monitoring animal identification, health, and behaviour

JV Congdon, M Hosseini, EF Gading, M Masousi… - Animals, 2022 - mdpi.com
Simple Summary Due to climate change and human interference, many species are now
without habitats and on the brink of extinction. Zoos and other conservation spaces allow for …

Individual differences in honey bee behavior enabled by plasticity in brain gene regulatory networks

BM Jones, VD Rao, T Gernat, T Jagla, AC Cash-Ahmed… - Elife, 2020 - elifesciences.org
Understanding the regulatory architecture of phenotypic variation is a fundamental goal in
biology, but connections between gene regulatory network (GRN) activity and individual …

Enhancing knowledge of chemical exposures and fate in honey bee hives: Insights from colony structure and interactions

AM Encerrado-Manriquez, AK Pouv, JD Fine… - Science of the Total …, 2024 - Elsevier
Honey bees are unintentionally exposed to a wide range of chemicals through various
routes in their natural environment, yet research on the cumulative effects of multi-chemical …

Toward bee behavioral pattern recognition on hive entrance using yolov8

T Sledević, D Plonis - 2023 IEEE 10th Jubilee Workshop on …, 2023 - ieeexplore.ieee.org
Prediction of bee behavior by visual analysis of bee activity at the entrance provides
valuable information on the condition of the hive. In this work, convolutional neural networks …

Context-dependent influence of threat on honey bee social network dynamics and brain gene expression

IM Traniello, AR Hamilton, T Gernat… - Journal of …, 2022 - journals.biologists.com
Adverse social experience affects social structure by modifying the behavior of individuals,
but the relationship between an individual's behavioral state and its response to adversity is …

[HTML][HTML] Using honey bee flight activity data and a deep learning model as a toxicovigilance tool

U Olivares-Pinto, C Alaux, Y Le Conte, D Crauser… - Ecological …, 2024 - Elsevier
Automatic monitoring devices placed at the entrances of honey bee hives have facilitated
the detection of various sublethal effects related to pesticide exposure, such as homing …

Integrating real-time data analysis into automatic tracking of social insects

A Sclocco, SJY Ong… - Royal Society Open …, 2021 - royalsocietypublishing.org
Automatic video tracking has become a standard tool for investigating the social behaviour
of insects. The recent integration of computer vision in tracking technologies will probably …

Semi-automatic detection of honeybee brood hygiene—an example of artificial learning to facilitate ethological studies on social insects

P Batz, A Ruttor, S Thiel, J Wegener… - Biology Methods and …, 2022 - academic.oup.com
Abstract Machine-learning techniques are shifting the boundaries of feasibility in many fields
of ethological research. Here, we describe an application of machine learning to the …

Toward bee motion pattern identification on hive landing board

T Sledevič, V Abromavičius - 2023 IEEE Open Conference of …, 2023 - ieeexplore.ieee.org
The ability to predict bee behavior through visual analysis of their activity at the hive
entrance provides valuable insight into the hive's condition. In this study, we present an …