AIMC Topic: Bees

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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...
Robotics Robotic Surgical Procedures Animals Ecosystem Bees
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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.
Robotics Bees Animals
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Automated monitoring of honey bees with barcodes and artificial intelligence reveals two distinct social networks from a single affiliative behavior.

Scientific reports Jan 27, 2023
Barcode-based tracking of individuals is revolutionizing animal behavior studies, but further progress hinges on whether in addition to determining an individual's location, specific behaviors can be identified and monitored. We achieve this goal usi...
Animals Bees Behavior, Animal Social Behavior Artificial Intelligence
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Lightweight Artificial Intelligence for Secure Data Communication in Energy-Constrained Healthcare Devices.

Computational intelligence and neuroscience Aug 31, 2022
Logistics is the transfer of goods from one place to another, mostly from the production house to the customers. A logistics network is a set of operations that involve designing, production, and marketing the goods. Cold-chain logistics are those th...
Artificial Intelligence Algorithms Bees Delivery of Health Care Transportation Animals
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Nested Bee Hive: A Conceptual Multilayer Architecture for 6G in Futuristic Sustainable Smart Cities.

Sensors (Basel, Switzerland) Aug 9, 2022
Several smart city ideas are introduced to manage various problems caused by overpopulation, but the futuristic smart city is a concept based on dense and artificial-intelligence-centric cities. Thus, massive device connectivity with huge data traffi...
Algorithms Forecasting Artificial Intelligence Bees Animals Cities
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SurferBot: a wave-propelled aquatic vibrobot.

Bioinspiration & biomimetics Jul 25, 2022
Nature has evolved a vast array of strategies for propulsion at the air-fluid interface. Inspired by a survival mechanism initiated by the honeybee () trapped on the surface of water, we here present the: a centimeter-scale vibrating robotic device t...
Swimming Locomotion Robotics Bees Hydrodynamics Biomechanical Phenomena Animals
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Machine learning models identify gene predictors of waggle dance behaviour in honeybees.

Molecular ecology resources Apr 18, 2022
The molecular characterization of complex behaviours is a challenging task as a range of different factors are often involved to produce the observed phenotype. An established approach is to look at the overall levels of expression of brain genes-or ...
Linear Models Animal Communication Machine Learning Ecology Bees Algorithms Animals
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In-Field Detection of American Foulbrood (AFB) by Electric Nose Using Classical Classification Techniques and Sequential Neural Networks.

Sensors (Basel, Switzerland) Feb 2, 2022
American foulbrood is a dangerous bee disease that attacks the sealed brood. It quickly leads to the death of bee colonies. Efficient diagnosis of this disease is essential. As specific odours are produced when larvae rot, it was investigated whether...
Neural Networks, Computer Semiconductors Bees Electronic Nose United States Bayes Theorem Animals Larva
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Deep learning increases the availability of organism photographs taken by citizens in citizen science programs.

Scientific reports Jan 24, 2022
Citizen science programs using organism photographs have become popular, but there are two problems related to photographs. One problem is the low quality of photographs. It is laborious to identify species in photographs taken outdoors because they ...
Photography Image Interpretation, Computer-Assisted Animal Identification Systems Citizen Science Bees Animals Deep Learning
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Machine learning approach for automatic recognition of tomato-pollinating bees based on their buzzing-sounds.

PLoS computational biology Sep 16, 2021
Bee-mediated pollination greatly increases the size and weight of tomato fruits. Therefore, distinguishing between the local set of bees-those that are efficient pollinators-is essential to improve the economic returns for farmers. To achieve this, i...
Crops, Agricultural Animals Pollination Flowers Solanum lycopersicum Computational Biology Machine Learning Bees Acoustics Algorithms
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