AIMC Topic: Bees

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Image-based honey bee larval viral and bacterial diagnosis using machine learning.

Scientific reports Aug 21, 2025
Honey bees are essential pollinators of ecosystems and agriculture worldwide. With an estimated 50-80% of crops pollinated by honey bees, they generate approximately $20 billion annually in market value in the U.S. alone. However, commercial beekeepe...
Larva Bees Virus Diseases Machine Learning Animals
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Hidden Markov model for acoustic pesticide exposure detection and hive identification in stingless bees.

PloS one Jun 18, 2025
Pollinator populations are declining globally at an unprecedented rate, driven by factors such as pathogens, habitat loss, climate change, and the widespread application of pesticides. Although colony losses remain difficult to prevent, precision bee...
Chlorpyrifos Hidden Markov Models Animals Acoustics Bees Pesticides Markov Chains
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Honeybee colony soundscapes: Decoding distance-based cues and environmental stressors.

Ecotoxicology and environmental safety Apr 28, 2025
Honey bees play a crucial role in agricultural productivity and ecological stability, yet their interactions with environmental stressors, particularly volatile organic compounds (VOCs) and pollutants, pose significant challenges to their cognitive f...
Animals Acetone Behavior, Animal Animal Communication Acetates Cues Sound Volatile Organic Compounds Bees
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Digital image processing combined with machine learning: A novel approach for bee pollen classification.

Food research international (Ottawa, Ont.) Apr 22, 2025
The classification of bee pollen is crucial for ensuring product authenticity, quality control, and fraud prevention, particularly given the high commercial value of stingless bee pot-pollen. Although traditional pollen analysis methods are available...
Color Bees Pollen Image Processing, Computer-Assisted Discriminant Analysis Algorithms Machine Learning Animals
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Employing artificial bee and ant colony optimization in machine learning techniques as a cognitive neuroscience tool.

Scientific reports Mar 24, 2025
Higher education is essential because it exposes students to a variety of areas. The academic performance of IT students is crucial and might fail if it isn't documented to identify the features influencing them, as well as their strengths and shortc...
Bees Ants Cognitive Neuroscience Students Decision Trees Humans Algorithms Animals Machine Learning
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A machine learning approach fusing multisource spectral data for prediction of floral origins and taste components of Apis cerana honey.

Food research international (Ottawa, Ont.) Feb 25, 2025
This study explores the use of near-infrared (NIR), mid-infrared (MIR), and Raman spectral fusion for the rapid prediction of floral origins and main taste components in Apis cerana (A. cerana) honey. Feature-level fusion with the partial least squar...
Machine Learning Animals Sugars Spectrum Analysis, Raman Least-Squares Analysis Taste Spectroscopy, Near-Infrared Flowers Bees Amino Acids Honey
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Enhancing the decision optimization of interaction design in sustainable healthcare with improved artificial bee colony algorithm and generative artificial intelligence.

PloS one Feb 25, 2025
With the development of digital health, enhancing decision-making effectiveness has become a critical task. This study proposes an improved Artificial Bee Colony (ABC) algorithm aimed at optimizing decision-making models in the field of digital healt...
Decision Making Algorithms Humans Delivery of Health Care Artificial Intelligence Generative Artificial Intelligence Bees
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Identifying bee species origins of Philippine honey using X-ray fluorescence elemental analysis coupled with machine learning.

Food chemistry Feb 1, 2025
Stingless bee honey is emerging as a superfood, given its enhanced health and therapeutic benefits. In this paper, we used handheld X-ray fluorescence spectroscopy (hXRF) with machine learning techniques to classify Philippine honey based on its ento...
Machine Learning Animals Philippines Spectrometry, X-Ray Emission Honey Bees
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Insect-inspired passive wing collision recovery in flapping wing microrobots.

Bioinspiration & biomimetics Jan 24, 2025
Flying insects have developed two distinct adaptive strategies to minimize wing damage during collisions. One strategy includes an elastic joint at the leading edge, which is evident in wasps and beetles, while another strategy features an adaptive a...
Flight, Animal Wings, Animal Wasps Insecta Bees Equipment Design Biomechanical Phenomena Animals Aircraft Robotics Biomimetics
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Assessing foraging landscape quality in Quebec's commercial beekeeping through remote sensing, machine learning, and survival analysis.

Journal of environmental management Jan 21, 2025
Honey bees (Apis mellifera) play an important role in our agricultural systems. In recent years, beekeepers have reported high colony mortality rates in several parts of the world. Inadequate foraging landscapes are often cited as a major factor dete...
Quebec Animals Machine Learning Beekeeping Bees Remote Sensing Technology Pollination
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