Automating insect monitoring using unsupervised near-infrared sensors

K Rydhmer, E Bick, L Still, A Strand, R Luciano… - Scientific reports, 2022 - nature.com
Insect monitoring is critical to improve our understanding and ability to preserve and restore
biodiversity, sustainably produce crops, and reduce vectors of human and livestock disease …

Deep learning identification for citizen science surveillance of tiger mosquitoes

BA Pataki, J Garriga, R Eritja, JRB Palmer… - Scientific reports, 2021 - nature.com
Global monitoring of disease vectors is undoubtedly becoming an urgent need as the
human population rises and becomes increasingly mobile, international commercial …

HumBug–an acoustic mosquito monitoring tool for use on budget smartphones

ME Sinka, D Zilli, Y Li, I Kiskin, D Msaky… - Methods in ecology …, 2021 - Wiley Online Library
Mosquito surveys are time‐consuming, expensive and can provide a biased spatial sample
of occurrence data—the data often representing the location of the surveys, not the …

LOCOMOBIS: a low-cost acoustic-based sensing system to monitor and classify mosquitoes

D Vasconcelos, N Nunes, M Ribeiro… - 2019 16th IEEE …, 2019 - ieeexplore.ieee.org
Mosquitoes are considered one of the more severe worldwide health hazards. Their
populations vary heterogeneously in urban and rural landscapes, and fluctuate with …

HumBugDB: a large-scale acoustic mosquito dataset

I Kiskin, M Sinka, AD Cobb, W Rafique, L Wang… - arXiv preprint arXiv …, 2021 - arxiv.org
This paper presents the first large-scale multi-species dataset of acoustic recordings of
mosquitoes tracked continuously in free flight. We present 20 hours of audio recordings that …

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

C Herrera, M Williams, J Encarnação… - Pest Management …, 2023 - Wiley Online Library
BACKGROUND The yellow‐legged hornet (Vespa velutina) is native to Southeast Asia and
is an invasive alien species of concern in many countries. More effective management of …

Counting mosquitoes in the wild: An internet of things approach

D Vasconcelos, MS Yin, F Wetjen, A Herbst… - Proceedings of the …, 2021 - dl.acm.org
Counting mosquitoes in the wild is a crucial capability for monitoring, prediction, and control
of vector-borne diseases. Current approaches are mainly manual, where specially designed …

Deep learning-based image classification for major mosquito species inhabiting Korea

S Lee, H Kim, BK Cho - Insects, 2023 - mdpi.com
Simple Summary Conventional manual counting methods for the monitoring of mosquito
species and populations can hinder the accurate determination of the optimal timing for pest …

Humbug zooniverse: A crowd-sourced acoustic mosquito dataset

I Kiskin, AD Cobb, L Wang… - ICASSP 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
Mosquitoes are the only known vector of malaria, which leads to hundreds of thousands of
deaths each year. Understanding the number and location of potential mosquito vectors is of …

The use of artificial intelligence and automatic remote monitoring for mosquito surveillance

MI González, J Encarnação… - … and control of …, 2022 - wageningenacademic.com
Mosquito surveillance consists in the routine monitoring of mosquito populations: to
determine the presence/absence of certain mosquito species; to identify changes in the …