IoT and AI Systems for Enhancing Bee Colony Strength in Precision Beekeeping: A Survey and Future Research Directions

K Jeong, H Oh, Y Lee, H Seo, G Cho… - IEEE Internet of …, 2024 - ieeexplore.ieee.org
Bees play a crucial role in human food production and ecosystem maintenance. However,
they face a global crisis characterized by significant population decline, including colony …

A deep learning-based approach for bee sound identification

TH Truong, H Du Nguyen, TQA Mai, HL Nguyen… - Ecological …, 2023 - Elsevier
Bee buzzing carries a lot of information about colony behavior. These sounds can provide
beekeepers with insights into various stressed situations in the colony such as the absence …

Buzzing with Intelligence: Current Issues in Apiculture and the Role of Artificial Intelligence (AI) to Tackle It

PK Astuti, B Hegedűs, A Oleksa, Z Bagi, S Kusza - Insects, 2024 - mdpi.com
Honeybees (Apis mellifera L.) are important for agriculture and ecosystems; however, they
are threatened by the changing climate. In order to adapt and respond to emerging …

Ambient Electromagnetic Radiation as a Predictor of Honey Bee (Apis mellifera) Traffic in Linear and Non-Linear Regression: Numerical Stability, Physical Time and …

VA Kulyukin, D Coster, A Tkachenko, D Hornberger… - Sensors, 2023 - mdpi.com
Since bee traffic is a contributing factor to hive health and electromagnetic radiation has a
growing presence in the urban milieu, we investigate ambient electromagnetic radiation as a …

Honeybee (Apis spp.) (Hymenoptera: Apidae) Colony Monitoring Using Acoustic Signals from the Beehive: An Assessment by Global Experts and Our Feedback

MZ Sharif, N Di, B Yu - Agriculture, 2023 - mdpi.com
Because the sounds emitted by a managed honeybee colony embrace a wealth of
information about the status within and outside the beehive, researchers are interested in …

MFCC selection by LASSO for honey bee classification

U Libal, P Biernacki - Applied Sciences, 2024 - mdpi.com
Featured Application An automatic honey bee classification system based on audio signals
for tracking the frequency of workers and drones entering and leaving a hive. Abstract The …

[HTML][HTML] Bee Together: Joining Bee Audio Datasets for Hive Extrapolation in AI-Based Monitoring

A Bricout, P Leleux, P Acco, C Escriba, JY Fourniols… - Sensors, 2024 - mdpi.com
Beehive health monitoring has gained interest in the study of bees in biology, ecology, and
agriculture. As audio sensors are less intrusive, a number of audio datasets (mainly labeled …

[PDF][PDF] Assessing the suitability of welfare indicators for wild animals

H Browning, M Beaulieu, A Sharo, M Barrett, B Flint… - 2024 - researchgate.net
Measuring Wild Animal Welfare Page 1 1 Assessing the Suitability of Welfare Indicators for Wild
Animals Heather Browning1*, Michaël Beaulieu2, Andrew Sharo3, Meghan Barrett4, Bonnie …

Detecting drones at an entrance to a beehive based on audio signals and autoencoder neural networks

U Libal, P Biernacki - 2023 Signal Processing Symposium …, 2023 - ieeexplore.ieee.org
Detecting a large number of drones at the entrance of a beehive in the late Spring, may be
one of the signs of swarming, since the peak of a drone number is correlated with the …

A Machine Learning Approach for Queen Bee Detection Through Remote Audio Sensing to Safeguard Honeybee Colonies

L Barbisan, G Turvani, F Riente - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Honeybees play a pivotal role in maintaining global ecosystems and agricultural productivity
through their indispensable contribution to crop pollination. However, the alarming rise in …