AIMC Topic: Bees

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Tracing the genealogy origin of geographic populations based on genomic variation and deep learning.

Molecular phylogenetics and evolution Jul 2, 2024
Assigning a query individual animal or plant to its derived population is a prime task in diverse applications related to organismal genealogy. Such endeavors have conventionally relied on short DNA sequences under a phylogenetic framework. These met...
Deep Learning Genomics Animals Phylogeny Bees Ants Genetics, Population Polymorphism, Single Nucleotide Chickens
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Analysis of Varroa Mite Colony Infestation Level Using New Open Software Based on Deep Learning Techniques.

Sensors (Basel, Switzerland) Jun 13, 2024
Varroa mites, scientifically identified as , pose a significant threat to beekeeping and cause one of the most destructive diseases affecting honey bee populations. These parasites attach to bees, feeding on their fat tissue, weakening their immune s...
Deep Learning Image Processing, Computer-Assisted Bees Software Animals Beekeeping Varroidae Mite Infestations
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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...
Animals Bees Toxicity Tests Ecotoxicology Neural Networks, Computer
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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...
Species Specificity Wings, Animal Neural Networks, Computer Image Processing, Computer-Assisted Deep Learning Bees Animals
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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...
Biology Bees Ecosystem Robotics Humans Animals
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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...
Deep Learning Bees Animals Ecosystem
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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...
Brain Animals Bees Cognition Deep Learning X-Ray Microtomography Organ Size
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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...
Lighting Motion Bees Animals Neural Networks, Computer Deep Learning Algorithms
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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...
Radar Machine Learning Bees Animals Ultrasonography, Doppler Support Vector Machine
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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 ...
Robotics Plant Nectar Animals Humans Biomimetics Bees Ecosystem Feeding Behavior
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