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volume 11 publication number e134825

Using Image-based AI for insect monitoring and conservation - InsectAI COST Action

Tom A. August 1
MARIO V. BALZAN 2
Paul Bodesheim 3
Gunnar Brehm 3
Lisette Cantú Salazar 4
Sílvia Castro 5
Joseph Chipperfield 6
GUILLAUME GHISBAIN 7
Alba Gomez Segura 1
Jérémie Goulnik 8
Quentin Groom 9
Laurens Hogeweg 10
Chantal M Huijbers 10
Andreas Kamilaris 11
Karolis Kazlauskis 12
Wouter Koch 13
Dimitri Korsch 3
Joao Loureiro 5
Youri Martin 4
Angeliki F Martinou 14, 15, 16
Kent Mcfarland 17
Mestdagh Xavier 4
Denis Michez 18
Charlotte L. Outhwaite 19
Luca Pegoraro 20
Nadja Pernat 21
Lars B Pettersson 22
Pavel Pipek 23
Cristina Preda 24
David Rolnick 25
Tobias Roth 26
David Roy 27, 28
Helen E Roy 1
Veljo Runnel 29
Martina Sasic 30
Dmitry Schigel 31
Julie Sheard 32, 33, 34
Cecilie Svenningsen 35
H Teixeira 36
Thomas Tscheulin 37
Elli Tzirkalli 38
Marijn van der Velde 39
Roel van Klink 32, 40
Nicolas J. Vereecken 41
Sarah Vray 4
Toke Thomas Høye 42
2
 
Malta College of Arts, Science and Technology, Paola, Malta
8
 
Association Noé, Paris, France
9
 
Meise Botanic Garden, Meise, Belgium
12
 
Flumens, Kaunas, Lithuania
13
 
Norwegian Biodiversity Information Centre, Trondheim, Norway
14
 
Laboratory of Vector Ecology and Applied Entomology, Joint Services Health Unit, Akrotiri, Cyprus
15
 
The CYPRUS Institute, Nicosia, Cyprus
16
 
Enalia Physis Environmental Research Centre, Nicosia, Cyprus
17
 
Vermont Center for Ecostudies, Norwich, United States of America
26
 
Ökologische Beratung, Planung und Forschung, Reinach, Switzerland
27
 
Centre for Ecology & Hydrology, Crowmarsh Gifford, Wallingford, Wallingford, United Kingdom
30
 
Croatian Natural History Museum, Zagreb, Croatia
31
 
Global Biodiversity Information Facility - Secretariat, Copenhagen Ø, Denmark
Publication typeJournal Article
Publication date2025-02-10
SJR
CiteScore
Impact factor
ISSN23677163
Abstract

The InsectAI COST action will support insect monitoring and conservation at the national and continental scale in order to understand and counteract widespread insect declines. The Action will bring together a critical mass of researchers and stakeholders in image-based insect AI technologies to direct and drive the research agenda, build research capacity across Europe and support innovation and application.

There is mounting evidence that populations of insects around the world are in sharp decline. Understanding trends in species and their drivers is key to knowing the size of the challenge, its causes and how to address it. To identify solutions that lead to sustainable biodiversity alongside economic prosperity, insect monitoring should be efficient and provide standardised and frequently updated status indicators to guide conservation actions.

The EU Biodiversity Strategy 2030 identifies the critical challenge of delivering standardised information about the state of nature and image-based insect AI can contribute to this. Specifically, the EU Nature Restoration Law will likely set binding targets for the high resolution data that cameras can provide. Thus, outputs of the Action will contribute directly to EU policies implementation, where biodiversity monitoring is considered a key component.

The InsectAI COST Action will organise workshops, conferences, short-term scientific missions, hackathons, design-sprints and much more, across four Working Groups. These groups will address how image-based insect AI technologies can best address Societal Needs, support innovation in Image Collection hardware, create standardised approaches for Image Processing and develop novel Data Analysis and Integration methods for turning data into actionable insights.

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Biological Invasions
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Agricultural and Forest Entomology
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Wiley
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August T. A. et al. Using Image-based AI for insect monitoring and conservation - InsectAI COST Action // Research Ideas and Outcomes. 2025. Vol. 11. e134825
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August T. A. et al. Using Image-based AI for insect monitoring and conservation - InsectAI COST Action // Research Ideas and Outcomes. 2025. Vol. 11. e134825
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RIS Copy
TY - JOUR
DO - 10.3897/rio.10.e134825
UR - https://riojournal.com/article/134825/
TI - Using Image-based AI for insect monitoring and conservation - InsectAI COST Action
T2 - Research Ideas and Outcomes
AU - August, Tom A.
AU - BALZAN, MARIO V.
AU - Bodesheim, Paul
AU - Brehm, Gunnar
AU - Cantú Salazar, Lisette
AU - Castro, Sílvia
AU - Chipperfield, Joseph
AU - GHISBAIN, GUILLAUME
AU - Gomez Segura, Alba
AU - Goulnik, Jérémie
AU - Groom, Quentin
AU - Hogeweg, Laurens
AU - Huijbers, Chantal M
AU - Kamilaris, Andreas
AU - Kazlauskis, Karolis
AU - Koch, Wouter
AU - Korsch, Dimitri
AU - Loureiro, Joao
AU - Martin, Youri
AU - Martinou, Angeliki F
AU - Mcfarland, Kent
AU - Xavier, Mestdagh
AU - Michez, Denis
AU - Outhwaite, Charlotte L.
AU - Pegoraro, Luca
AU - Pernat, Nadja
AU - Pettersson, Lars B
AU - Pipek, Pavel
AU - Preda, Cristina
AU - Rolnick, David
AU - Roth, Tobias
AU - Roy, David
AU - Roy, Helen E
AU - Runnel, Veljo
AU - Sasic, Martina
AU - Schigel, Dmitry
AU - Sheard, Julie
AU - Svenningsen, Cecilie
AU - Teixeira, H
AU - Titeux, Nicolas
AU - Tscheulin, Thomas
AU - Tzirkalli, Elli
AU - van der Velde, Marijn
AU - van Klink, Roel
AU - Vereecken, Nicolas J.
AU - Vray, Sarah
AU - Høye, Toke Thomas
PY - 2025
DA - 2025/02/10
PB - Pensoft Publishers
VL - 11
SN - 2367-7163
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2025_August,
author = {Tom A. August and MARIO V. BALZAN and Paul Bodesheim and Gunnar Brehm and Lisette Cantú Salazar and Sílvia Castro and Joseph Chipperfield and GUILLAUME GHISBAIN and Alba Gomez Segura and Jérémie Goulnik and Quentin Groom and Laurens Hogeweg and Chantal M Huijbers and Andreas Kamilaris and Karolis Kazlauskis and Wouter Koch and Dimitri Korsch and Joao Loureiro and Youri Martin and Angeliki F Martinou and Kent Mcfarland and Mestdagh Xavier and Denis Michez and Charlotte L. Outhwaite and Luca Pegoraro and Nadja Pernat and Lars B Pettersson and Pavel Pipek and Cristina Preda and David Rolnick and Tobias Roth and David Roy and Helen E Roy and Veljo Runnel and Martina Sasic and Dmitry Schigel and Julie Sheard and Cecilie Svenningsen and H Teixeira and Nicolas Titeux and Thomas Tscheulin and Elli Tzirkalli and Marijn van der Velde and Roel van Klink and Nicolas J. Vereecken and Sarah Vray and Toke Thomas Høye and others},
title = {Using Image-based AI for insect monitoring and conservation - InsectAI COST Action},
journal = {Research Ideas and Outcomes},
year = {2025},
volume = {11},
publisher = {Pensoft Publishers},
month = {feb},
url = {https://riojournal.com/article/134825/},
pages = {e134825},
doi = {10.3897/rio.10.e134825}
}
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