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 …

A review of automated bioacoustics and general acoustics classification research

L Mutanu, J Gohil, K Gupta, P Wagio, G Kotonya - Sensors, 2022 - mdpi.com
Automated bioacoustics classification has received increasing attention from the research
community in recent years due its cross-disciplinary nature and its diverse application …

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 …

Automatic acoustic recognition of pollinating bee species can be highly improved by Deep Learning models accompanied by pre-training and strong data …

AIS Ferreira, NFF Da Silva, FN Mesquita… - Frontiers in Plant …, 2023 - frontiersin.org
Introduction Bees capable of performing floral sonication (or buzz-pollination) are among the
most effective pollinators of blueberries. However, the quality of pollination provided varies …

[HTML][HTML] Buzzing through Data: Advancing Bee Species Identification with Machine Learning

AMB Ratnayake, HM Yasin, AG Naim… - Applied System Innovation, 2024 - mdpi.com
Given the vast diversity of bee species and the limited availability of taxonomy experts, bee
species identification has become increasingly important, especially with the rise of …

Investigation on new Mel frequency cepstral coefficients features and hyper-parameters tuning technique for bee sound recognition

TTH Phan, D Nguyen-Doan, D Nguyen-Huu… - Soft Computing, 2023 - Springer
Due to the important role of honey bees in life, there have been increasingly advanced
techniques introduced to support apiarists in taking the best care of their bees. Recently …

AIS-based operational phase identification using Progressive Ablation Feature Selection with machine learning for improving ship emission estimates

K Duan, Q Li, S Liu, Y Liu, S Wang, S Li… - Journal of the Air & …, 2024 - Taylor & Francis
The work status of ships' engines and boilers has a significant impact on emission estimates,
which are closely related to ships' operational phases. To improve the accuracy of emission …

From buzzes to bytes: A systematic review of automated bioacoustics models used to detect, classify and monitor insects

AB Kohlberg, CR Myers… - Journal of Applied …, 2024 - Wiley Online Library
Insects play vital ecological roles; many provide essential ecosystem services while others
are economically devastating pests and disease vectors. Concerns over insect population …

[HTML][HTML] Stridulatory Organs and Sound Recognition of Three Species of Longhorn Beetles (Coleoptera: Cerambycidae)

JQ Wei, XY Wang, XL Zheng, X Tong - Insects, 2024 - mdpi.com
Sound is an important medium of communication among insects. Some longhorn beetles
produce sounds during their daily activities, and these sounds play a role in courtship …

[HTML][HTML] Non-Intrusive System for Honeybee Recognition Based on Audio Signals and Maximum Likelihood Classification by Autoencoder

U Libal, P Biernacki - Sensors, 2024 - mdpi.com
Artificial intelligence and Internet of Things are playing an increasingly important role in
monitoring beehives. In this paper, we propose a method for automatic recognition of …