AIMC Topic: Bees

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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...
Bees Behavior, Animal Social Behavior Artificial Intelligence Animals
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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 Transportation Animals Algorithms Bees Delivery of Health Care
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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...
Cities Bees Artificial Intelligence Forecasting Algorithms Animals
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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 Hydrodynamics Robotics Bees 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 ...
Machine Learning Algorithms Bees Linear Models Animal Communication Animals Ecology
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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...
Bees Electronic Nose Animals Larva Bayes Theorem Semiconductors United States Neural Networks, Computer
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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 ...
Citizen Science Photography Animal Identification Systems Animals Image Interpretation, Computer-Assisted Bees 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...
Pollination Machine Learning Algorithms Bees Crops, Agricultural Animals Computational Biology Solanum lycopersicum Acoustics Flowers
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Oscillations make a self-scaled model for honeybees' visual odometer reliable regardless of flight trajectory.

Journal of the Royal Society, Interface Sep 8, 2021
Honeybees foraging and recruiting nest-mates by performing the waggle dance need to be able to gauge the flight distance to the food source regardless of the wind and terrain conditions. Previous authors have hypothesized that the foragers' visual od...
Animals Wind Robotics Bees Flight, Animal
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Can plants fool artificial intelligence? Using machine learning to compare between bee orchids and bees.

Plant signaling & behavior Jun 20, 2021
Bee orchids have long been an excellent example of how dishonest signal works in plant-animal interaction. Many studies compared the flower structures that resemble female bees, leading toward pseudo-copulation of the male bees on the flower. Using M...
Orchidaceae Image Processing, Computer-Assisted Biological Mimicry Flowers Animals Bees Artificial Intelligence Male Female Pollination
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