AIMC Topic: Bees
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Advancing ecotoxicity assessment: Leveraging pre-trained model for bee toxicity and compound degradability prediction.
Journal of hazardous materials
Jun 8, 2024
The prediction of ecological toxicity plays an increasingly important role in modern society. However, the existing models often suffer from poor performance and limited predictive capabilities. In this study, we propose a novel approach for ecologic...
Deep learning for identifying bee species from images of wings and pinned specimens.
PloS one
May 28, 2024
One of the most challenging aspects of bee ecology and conservation is species-level identification, which is costly, time consuming, and requires taxonomic expertise. Recent advances in the application of deep learning and computer vision have shown...
Animal-robot interaction-an emerging field at the intersection of biology and robotics.
Bioinspiration & biomimetics
Feb 2, 2024
The field of animal-robot and organism-robot interaction systems (ARIS, ORIS) is a currently rapidly emerging field in biorobotics. In this special issue we aim for providing a comprehensive overview of the cutting-edge advancements and pioneering br...
Individual honey bee tracking in a beehive environment using deep learning and Kalman filter.
Scientific reports
Jan 11, 2024
The honey bee is the most essential pollinator and a key contributor to the natural ecosystem. There are numerous ways for thousands of bees in a hive to communicate with one another. Individual trajectories and social interactions are thus complex b...
Natural variability in bee brain size and symmetry revealed by micro-CT imaging and deep learning.
PLoS computational biology
Oct 2, 2023
Analysing large numbers of brain samples can reveal minor, but statistically and biologically relevant variations in brain morphology that provide critical insights into animal behaviour, ecology and evolution. So far, however, such analyses have req...
MBT3D: Deep learning based multi-object tracker for bumblebee 3D flight path estimation.
PloS one
Sep 22, 2023
This work presents the Multi-Bees-Tracker (MBT3D) algorithm, a Python framework implementing a deep association tracker for Tracking-By-Detection, to address the challenging task of tracking flight paths of bumblebees in a social group. While trackin...
Challenges in Developing a Real-Time Bee-Counting Radar.
Sensors (Basel, Switzerland)
Jun 1, 2023
Detailed within is an attempt to implement a real-time radar signal classification system to monitor and count bee activity at the hive entry. There is interest in keeping records of the productivity of honeybees. Activity at the entrance can be a go...
Will biomimetic robots be able to change a hivemind to guide honeybees' ecosystem services?
Bioinspiration & biomimetics
Mar 27, 2023
We study whether or not a group of biomimetic waggle dancing robots is able to significantly influence the swarm-intelligent decision making of a honeybee colony, e.g. to avoid foraging at dangerous food patches using a mathematical model. Our model ...
A robotic honeycomb for interaction with a honeybee colony.
Science robotics
Mar 22, 2023
Robotic technologies have shown the capability to interact with living organisms and even to form integrated mixed societies composed of living and artificial agents. Biocompatible robots, incorporating sensing and actuation capable of generating and...
The beehive of the future is a robot socially interacting with honeybees.
Science robotics
Mar 22, 2023
A robotic beehive may unveil insights into honeybee collective behavior and sustain the colony in harsh weather.
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