[HTML][HTML] Automated beehive acoustics monitoring: A comprehensive review of the literature and recommendations for future work

M Abdollahi, P Giovenazzo, TH Falk - Applied Sciences, 2022 - mdpi.com
Bees play an important role in agriculture and ecology, and their pollination efficiency is
essential to the economic profitability of farms. The drastic decrease in bee populations …

[HTML][HTML] On the importance of the sound emitted by honey bee hives

A Terenzi, S Cecchi, S Spinsante - Veterinary Sciences, 2020 - mdpi.com
Recent years have seen a worsening in the decline of honey bees (Apis mellifera L.)
colonies. This phenomenon has sparked a great amount of attention regarding the need for …

[HTML][HTML] IoT-based bee swarm activity acoustic classification using deep neural networks

A Zgank - Sensors, 2021 - mdpi.com
Animal activity acoustic monitoring is becoming one of the necessary tools in agriculture,
including beekeeping. It can assist in the control of beehives in remote locations. It is …

[HTML][HTML] Bee swarm activity acoustic classification for an IoT-based farm service

A Zgank - Sensors, 2019 - mdpi.com
Beekeeping is one of the widespread and traditional fields in agriculture, where Internet of
Things (IoT)-based solutions and machine learning approaches can ease and improve …

Comparison of feature extraction methods for sound-based classification of honey bee activity

A Terenzi, N Ortolani, I Nolasco… - … ACM transactions on …, 2021 - ieeexplore.ieee.org
Honey bees are one of the most important insects on the planet since they play a key role in
the pollination services of both cultivated and spontaneous flora. Recent years have seen an …

MFCC-based descriptor for bee queen presence detection

BS Soares, JS Luz, VF de Macêdo, RRV e Silva… - Expert Systems with …, 2022 - Elsevier
Monitoring and detecting hive health are essential for the development of ecosystem
conservation strategies and sustainable beekeeping. The absence of the queen bee is a …

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 …

[HTML][HTML] The importance of context awareness in acoustics-based automated beehive monitoring

M Abdollahi, E Henry, P Giovenazzo, TH Falk - Applied Sciences, 2022 - mdpi.com
The vital role of honeybees in pollination and their high rate of mortality in the last decade
have raised concern among beekeepers and researchers alike. As such, robust and remote …

[HTML][HTML] Comparative study of machine learning models for bee colony acoustic pattern classification on low computational resources

A Robles-Guerrero, T Saucedo-Anaya… - Sensors, 2023 - mdpi.com
In precision beekeeping, the automatic recognition of colony states to assess the health
status of bee colonies with dedicated hardware is an important challenge for researchers …

[HTML][HTML] Machine learning approach for automatic recognition of tomato-pollinating bees based on their buzzing-sounds

AP Ribeiro, NFF da Silva, FN Mesquita… - PLoS computational …, 2021 - journals.plos.org
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 …