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Automated detection of the yellow‐legged hornet (Vespa velutina) using an optical sensor with machine learning

https://doi.org/10.1002/ps.7296
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/ps.6264openalex-snapshot
Six years of controlling the invasive species Vespa velutina in a Mediterranean island: The promising results of an eradication plan
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Frequency analysis of a bumblebee (Bombus impatiens) wingbeat
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Determining an effective sampling method for eDNA metabarcoding: a case study for fish biodiversity monitoring in a small, natural river
inferredcites →https://doi.org/10.1007/s10340-013-0537-3openalex-snapshot
Vespa velutina: a new invasive predator of honeybees in Europe
inferredcites →https://doi.org/10.1007/s10340-018-1042-5openalex-snapshot
Spreading of Vespa velutina in northwestern Spain: influence of elevation and meteorological factors and effect of bait trapping on target and non-target living organisms
inferredcites →https://doi.org/10.1007/s10530-019-02156-wopenalex-snapshot
The early detection of and rapid response (EDRR) to invasive species: a conceptual framework and federal capacities assessment
inferredcites →https://doi.org/10.1007/s10530-020-02275-9openalex-snapshot
The invasive hornet Vespa velutina affects pollination of a wild plant through changes in abundance and behaviour of floral visitors
inferredcites →https://doi.org/10.1007/s10531-020-02107-1openalex-snapshot
Deep learning improves acoustic biodiversity monitoring and new candidate forest frog species identification (genus Platymantis) in the Philippines
inferredcites →https://doi.org/10.1007/s13592-018-0612-0openalex-snapshot
Performance of baited traps used as control tools for the invasive hornet Vespa velutina and their impact on non-target insects
inferredcites →https://doi.org/10.1007/s13592-018-0619-6openalex-snapshot
Automated classification of bees and hornet using acoustic analysis of their flight sounds
inferredcites →https://doi.org/10.1007/s13592-021-00860-yopenalex-snapshot
Changes in the wing-beat frequency of bees and wasps depending on environmental conditions: a study with optical sensors
inferredcites →https://doi.org/10.1016/0022-1910(75)90233-4openalex-snapshot
Frequencies of the sounds produced by the oriental hornet, Vespa orientalis
inferredcites →https://doi.org/10.1016/j.actatropica.2016.09.002openalex-snapshot
A sound trap for Aedes albopictus (Skuse) male surveillance:Response analysis to acoustic and visual stimuli
inferredcites →https://doi.org/10.1016/j.adhoc.2016.09.005openalex-snapshot
Design of a force-based controlled mobility on aerial vehicles for pest management
inferredcites →https://doi.org/10.1016/j.apacoust.2016.11.016openalex-snapshot
Marine mammal sound classification based on a parallel recognition model and octave analysis
inferredcites →https://doi.org/10.1016/j.compag.2014.09.014openalex-snapshot
Optical identification of bumblebee species: Effect of morphology on wingbeat frequency
inferredcites →https://doi.org/10.1016/j.compbiomed.2020.104152openalex-snapshot
Detecting Aedes aegypti mosquitoes through audio classification with convolutional neural networks
inferredcites →https://doi.org/10.1016/j.ecoinf.2009.06.005openalex-snapshot
Automated classification of bird and amphibian calls using machine learning: A comparison of methods
inferredcites →https://doi.org/10.1016/j.ecoinf.2013.11.005openalex-snapshot
Classifying insects on the fly
inferredcites →https://doi.org/10.1016/j.ecoinf.2013.11.007openalex-snapshot
The use of acoustic indices to determine avian species richness in audio-recordings of the environment
inferredcites →https://doi.org/10.1016/j.scitotenv.2019.06.511openalex-snapshot
The impact of the invasive species Vespa velutina on honeybees: A new approach based on oxidative stress
inferredcites →https://doi.org/10.1023/a:1010933404324openalex-snapshot
Random Forests
inferredcites →https://doi.org/10.1038/s41598-017-13509-7openalex-snapshot
The sex pheromone of a globally invasive honey bee predator, the Asian eusocial hornet, Vespa velutina
inferredcites →https://doi.org/10.1038/s41598-019-48511-8openalex-snapshot
An Innovative Harmonic Radar to Track Flying Insects: the Case of Vespa velutina
inferredcites →https://doi.org/10.1038/s42003-018-0092-9openalex-snapshot
Searching for nests of the invasive Asian hornet (Vespa velutina) using radio-telemetry
inferredcites →https://doi.org/10.1038/srep29083openalex-snapshot
Observations of movement dynamics of flying insects using high resolution lidar
inferredcites →https://doi.org/10.1080/00218839.2021.1959753openalex-snapshot
Ploidy determination in Bombus terrestris males: cost-efficiency comparison among different techniques
inferredcites →https://doi.org/10.1080/09524622.2012.761571openalex-snapshot
Acoustic patterns of an invasive species: the Red-billed Leiothrix (Leiothrix luteaScopoli 1786) in a Mediterranean shrubland
inferredcites →https://doi.org/10.1080/09524622.2016.1190946openalex-snapshot
Predicting species identity of bumblebees through analysis of flight buzzing sounds
inferredcites →https://doi.org/10.1093/jme/tjz065openalex-snapshot
Deep Learning Algorithms Improve Automated Identification of Chagas Disease Vectors
inferredcites →https://doi.org/10.1109/tie.2007.909753openalex-snapshot
Application of the Welch-Method for the Identification of Two- and Three-Mass-Systems
inferredcites →https://doi.org/10.1111/1365-2664.13111openalex-snapshot
Using terrestrial haematophagous leeches to enhance tropical biodiversity monitoring programmes in Bangladesh
inferredcites →https://doi.org/10.1111/1744-7917.12760openalex-snapshot
Viability of thermal imaging in detecting nests of the invasive hornet Vespa velutina
inferredcites →https://doi.org/10.1111/2041-210x.12941openalex-snapshot
Measuring β‐diversity by remote sensing: A challenge for biodiversity monitoring
inferredcites →https://doi.org/10.1111/cobi.13119openalex-snapshot
Efficacy of extracting indices from large‐scale acoustic recordings to monitor biodiversity
inferredcites →https://doi.org/10.1111/icad.12418openalex-snapshot
Patterns of Vespa velutina invasion in Portugal using crowdsourced data
inferredcites →https://doi.org/10.1111/j.1365-2664.2011.01993.xopenalex-snapshot
Acoustic monitoring in terrestrial environments using microphone arrays: applications, technological considerations and prospectus
inferredcites →https://doi.org/10.1111/j.1557-9263.2009.00206.xopenalex-snapshot
Using soundscape recordings to estimate bird species abundance, richness, and composition
inferredcites →https://doi.org/10.1111/phen.12240openalex-snapshot
Phylogenetic clustering of wingbeat frequency and flight‐associated morphometrics across insect orders
inferredcites →https://doi.org/10.1121/1.4861233openalex-snapshot
Mosquito (Aedes aegypti) flight tones: Frequency, harmonicity, spherical spreading, and phase relationships
inferredcites →https://doi.org/10.1126/science.1166541openalex-snapshot
Harmonic Convergence in the Love Songs of the Dengue Vector Mosquito
inferredcites →https://doi.org/10.1145/1464420.1464424openalex-snapshot
Design and evaluation of a hybrid sensor network for cane toad monitoring
inferredcites →https://doi.org/10.1186/s13071-022-05324-5openalex-snapshot
A novel optical sensor system for the automatic classification of mosquitoes by genus and sex with high levels of accuracy
inferredcites →https://doi.org/10.1242/jeb.135.1.9openalex-snapshot
Relationship Between Wing Loading, Wingbeat Frequency and Body Mass in Homopterous Insects
inferredcites →https://doi.org/10.13031/2013.23606openalex-snapshot
Detecting Insect Flight Sounds in the Field: Implications for Acoustical Counting of Mosquitoes
inferredcites →https://doi.org/10.1364/oe.24.011828openalex-snapshot
Laser system for identification, tracking, and control of flying insects
inferredcites →https://doi.org/10.1371/journal.pone.0115943openalex-snapshot
Olfactory Attraction of the Hornet Vespa velutina to Honeybee Colony Odors and Pheromones
inferredcites →https://doi.org/10.1371/journal.pone.0135231openalex-snapshot
Towards Quantitative Optical Cross Sections in Entomological Laser Radar – Potential of Temporal and Spherical Parameterizations for Identifying Atmospheric Fauna
inferredcites →https://doi.org/10.1371/journal.pone.0136680openalex-snapshot
Production of Early Diploid Males by European Colonies of the Invasive Hornet Vespa velutina nigrithorax
inferredcites →https://doi.org/10.1371/journal.pone.0179273openalex-snapshot
Flight of the bumble bee: Buzzes predict pollination services
inferredcites →https://doi.org/10.1603/029.102.0436openalex-snapshot
On Automatic Bioacoustic Detection of Pests: The Cases of Rhynchophorus ferrugineus and Sitophilus oryzae
inferredcites →https://doi.org/10.1603/ec09214openalex-snapshot
Acoustic Detection of Oryctes rhinoceros (Coleoptera: Scarabaeidae: Dynastinae) and Nasutitermes luzonicus (Isoptera: Termitidae) in Palm Trees in Urban Guam
inferredcites →https://doi.org/10.18637/jss.v077.i01openalex-snapshot
ranger : A Fast Implementation of Random Forests for High Dimensional Data in C++ and R
inferredcites →https://doi.org/10.26786/1920-7603(2011)17openalex-snapshot
Comparative bioacoustical studies on flight and buzzing of neotropical bees
inferredcites →https://doi.org/10.3390/d12010005openalex-snapshot
Vespa velutina: An Alien Driver of Honey Bee Colony Losses
inferredcites →https://doi.org/10.3390/insects11100706openalex-snapshot
Effectiveness and Selectiveness of Traps and Baits for Catching the Invasive Hornet Vespa velutina
inferredcites →https://doi.org/10.3897/neobiota.55.38550openalex-snapshot
The economic cost of control of the invasive yellow-legged Asian hornet
inferredcites →https://doi.org/10.4236/oje.2012.24022openalex-snapshot
Chasing the queens of the alien predator of honeybees: A water drop in the invasiveness ocean
inferredcites →https://doi.org/10.48550/arxiv.1711.06346openalex-snapshot
Mosquito detection with low-cost smartphones: data acquisition for malaria research
inferredcites →https://doi.org/10.7554/elife.27854openalex-snapshot
Using mobile phones as acoustic sensors for high-throughput mosquito surveillance

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4644422openalex-extracted
Heterogeneous Features and Deep Learning Networks Fusion-Based Pest Detection, Prevention and Controlling System Using Iot and Pest Sound Analytics in a Wide Agriculture System
inferred← citeshttps://doi.org/10.1007/s13042-025-02685-yopenalex-snapshot
Employing IoT and pest sound analysis with multi-feature and multi-deep learning networks for detecting, preventing and controlling the pests in expansive farmland
inferred← citeshttps://doi.org/10.1007/s41870-025-02548-3openalex-snapshot
Advanced sound-based pest detection in agriculture using deep learning and adaptive optimization
inferred← citeshttps://doi.org/10.1007/s44163-026-02152-9openalex-snapshot
A hybrid deep learning framework for acoustic pest detection
inferred← citeshttps://doi.org/10.1016/j.cois.2025.101336openalex-snapshot
Recent advances and avenues for the pest management of invasive social wasps and hornets
inferred← citeshttps://doi.org/10.1016/j.compag.2025.110307openalex-snapshot
Remote and automated detection of Asian hornets (Vespa velutina nigrithorax) at an apiary, using spectral features of their hovering flight sounds
inferred← citeshttps://doi.org/10.1016/j.heliyon.2026.e45496openalex-snapshot
A comprehensive literature review on flying insect surveys: from traditional methods to molecular tools, sensor-based solutions, and AI-powered analysis
inferred← citeshttps://doi.org/10.1038/s42003-024-05979-zopenalex-snapshot
VespAI: a deep learning-based system for the detection of invasive hornets
inferred← citeshttps://doi.org/10.1109/jiot.2024.3461775openalex-snapshot
IoT and AI Systems for Enhancing Bee Colony Strength in Precision Beekeeping: A Survey and Future Research Directions
inferred← citeshttps://doi.org/10.1109/lsens.2024.3416451openalex-snapshot
Detection of Honeybee Flower-Visiting Activities in Wide Areas Using High-Speed Vision
inferred← citeshttps://doi.org/10.1109/mvipit65697.2024.00046openalex-snapshot
Deep Learning for Vespa Velutina Detection
inferred← citeshttps://doi.org/10.1145/3714334.3714348openalex-snapshot
Pest Control in Agriculture Using LED Light Technology Based on High Spectral Imaging
inferred← citeshttps://doi.org/10.21203/rs.3.rs-8490638/v1openalex-snapshot
Automated Identification of Vespid Wasps Using Transformer-Based Deep Learning Models: A Biodiversity Informatics Approach from Sri Lanka
inferred← citeshttps://doi.org/10.3389/fevo.2025.1624744openalex-snapshot
Comparative morphological analysis of yellow-legged hornet (Vespa velutina nigrithorax) and European hornet (Vespa crabro) based on modern imaging techniques
inferred← citeshttps://doi.org/10.3390/app13137414openalex-snapshot
Deep Learning-Based Portable Image Analysis System for Real-Time Detection of Vespa velutina
inferred← citeshttps://doi.org/10.3390/asi7040062openalex-snapshot
Buzzing through Data: Advancing Bee Species Identification with Machine Learning
inferred← citeshttps://doi.org/10.3390/drones7100630openalex-snapshot
Development of a Real-Time Vespa velutina Nest Detection and Notification System Using Artificial Intelligence in Drones
inferred← citeshttps://doi.org/10.3390/insects15080601openalex-snapshot
A Review of Five Existing Hornet-Tracking Methods
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