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 …
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 …
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 …
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 …
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 …
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 …
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 …
plants require honeybees for pollination. However, climate change is affecting bees as well …
Addressing multidimensional highly correlated data for forecasting in precision beekeeping
In recent years, there have been relevant advances in precision beekeeping. These
advances are mainly focused on proposing sensor systems that collect crucial information …
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 …
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 …
(CNN) in assessing the health status of bee colonies by classifying acoustic patterns …