Towards acoustic monitoring of bees: wingbeat sounds are related to species and individual traits

A Rodríguez Ballesteros… - … of the Royal …, 2024 - royalsocietypublishing.org
Global pollinator decline urgently requires effective methods to assess their trends,
distribution and behaviour. Passive acoustics is a non-invasive and cost-efficient monitoring …

[HTML][HTML] Improving pollen-bearing honey bee detection from videos captured at hive entrance by combining deep learning and handling imbalance techniques

DT Nguyen, TN Le, TH Phung, DM Nguyen… - Ecological …, 2024 - Elsevier
The number of pollen-bearing honey bees serves as a vital indicator for assessing colony
balance and health. Despite its significance, prevailing detection techniques still rely heavily …

Heterogeneous features and deep learning networks fusion-based pest detection, prevention and controlling system using IoT and pest sound analytics in a vast …

MA Ali, AK Sharma, RK Dhanaraj - Computers and Electrical Engineering, 2024 - Elsevier
Every country's foundation is its agricultural industry, which drives about half of global
economic growth. Accurate farming is crucial for crop evaluation and pest control. Old …

[HTML][HTML] Trajectory-based fish event classification through pre-training with diffusion models

N Canovi, BA Ellis, TK Sørdalen, V Allken… - Ecological …, 2024 - Elsevier
This study contributes to advancing the field of automatic fish event recognition in natural
underwater videos, addressing the current gap in studying fish interaction and competition …

[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 …

[HTML][HTML] Convolutional neural network-based real-time mosquito genus identification using wingbeat frequency: A binary and multiclass classification approach

E Joelianto, MI Mandasari, DB Marpaung… - Ecological …, 2024 - Elsevier
Global rises in dengue hemorrhagic fever, especially in Asia and Latin America, underscore
the necessity for enhanced public health interventions. Aedes spp. mosquitoes are the …

A machine learning-based multiclass classification model for bee colony anomaly identification using an IoT-based audio monitoring system with an edge computing …

SH Chen, JC Wang, HJ Lin, MH Lee, AC Liu… - Expert Systems with …, 2024 - Elsevier
Approximately one-third of human food is derived from flowering plants, and 80% of those
plants require honeybees for pollination. However, climate change is affecting bees as well …

Addressing multidimensional highly correlated data for forecasting in precision beekeeping

MC Robustillo, L Naranjo, MI Parra, CJ Pérez - Computers and Electronics …, 2024 - Elsevier
In recent years, there have been relevant advances in precision beekeeping. These
advances are mainly focused on proposing sensor systems that collect crucial information …

Continuous monitoring the Queen loss of honey bee colonies

Y Lu, W Hong, Y Fang, Y Wang, Z Liu, H Wang… - Biosystems …, 2024 - Elsevier
The queen bee is the core member of a bee colony, and her loss will pose a great threat to
the survival of the colony that may cause colony collapse. However, the process by which …

[HTML][HTML] Convolutional Neural Networks for Real Time Classification of Beehive Acoustic Patterns on Constrained Devices

A Robles-Guerrero, S Gómez-Jiménez… - Sensors, 2024 - mdpi.com
Recent research has demonstrated the effectiveness of convolutional neural networks
(CNN) in assessing the health status of bee colonies by classifying acoustic patterns …