Using Image-based AI for insect monitoring and conservation - InsectAI COST Action
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 dir...
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Pensoft Publishers
2025-02-01
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Online Access: | https://riojournal.com/article/134825/download/pdf/ |
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author | Tom August Mario Balzan Paul Bodesheim Gunnar Brehm Lisette Cantú-Salazar Sílvia Castro Joseph Chipperfield Guillaume Ghisbain Alba Gomez-Segura Jérémie Goulnik Quentin Groom Laurens Hogeweg Chantal Huijbers Andreas Kamilaris Karolis Kazlauskis Wouter Koch Dimitri Korsch João Loureiro Youri Martin Angeliki Martinou Kent McFarland Xavier Mestdagh Denis Michez Charlie Outhwaite Luca Pegoraro Nadja Pernat Lars Pettersson Pavel Pipek Cristina Preda David Rolnick Tobias Roth David Roy Helen Roy Veljo Runnel Martina Sasic Dmitry Schigel Julie Sheard Cecilie Svenningsen Heliana Teixeira Nicolas Titeux Thomas Tscheulin Elli Tzirkalli Marijn van der Velde Roel van Klink Nicolas Vereecken Sarah Vray Toke Thomas Høye |
author_facet | Tom August Mario Balzan Paul Bodesheim Gunnar Brehm Lisette Cantú-Salazar Sílvia Castro Joseph Chipperfield Guillaume Ghisbain Alba Gomez-Segura Jérémie Goulnik Quentin Groom Laurens Hogeweg Chantal Huijbers Andreas Kamilaris Karolis Kazlauskis Wouter Koch Dimitri Korsch João Loureiro Youri Martin Angeliki Martinou Kent McFarland Xavier Mestdagh Denis Michez Charlie Outhwaite Luca Pegoraro Nadja Pernat Lars Pettersson Pavel Pipek Cristina Preda David Rolnick Tobias Roth David Roy Helen Roy Veljo Runnel Martina Sasic Dmitry Schigel Julie Sheard Cecilie Svenningsen Heliana Teixeira Nicolas Titeux Thomas Tscheulin Elli Tzirkalli Marijn van der Velde Roel van Klink Nicolas Vereecken Sarah Vray Toke Thomas Høye |
author_sort | Tom August |
collection | DOAJ |
description | 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. |
format | Article |
id | doaj-art-75ed4319dad44d3da0521819da2e9036 |
institution | Kabale University |
issn | 2367-7163 |
language | English |
publishDate | 2025-02-01 |
publisher | Pensoft Publishers |
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series | Research Ideas and Outcomes |
spelling | doaj-art-75ed4319dad44d3da0521819da2e90362025-02-12T08:31:46ZengPensoft PublishersResearch Ideas and Outcomes2367-71632025-02-011114010.3897/rio.10.e134825134825Using Image-based AI for insect monitoring and conservation - InsectAI COST ActionTom August0Mario Balzan1Paul Bodesheim2Gunnar Brehm3Lisette Cantú-Salazar4Sílvia Castro5Joseph Chipperfield6Guillaume Ghisbain7Alba Gomez-Segura8Jérémie Goulnik9Quentin Groom10Laurens Hogeweg11Chantal Huijbers12Andreas Kamilaris13Karolis Kazlauskis14Wouter Koch15Dimitri Korsch16João Loureiro17Youri Martin18Angeliki Martinou19Kent McFarland20Xavier Mestdagh21Denis Michez22Charlie Outhwaite23Luca Pegoraro24Nadja Pernat25Lars Pettersson26Pavel Pipek27Cristina Preda28David Rolnick29Tobias Roth30David Roy31Helen Roy32Veljo Runnel33Martina Sasic34Dmitry Schigel35Julie Sheard36Cecilie Svenningsen37Heliana Teixeira38Nicolas Titeux39Thomas Tscheulin40Elli Tzirkalli41Marijn van der Velde42Roel van Klink43Nicolas Vereecken44Sarah Vray45Toke Thomas Høye46UK Centre for Ecology and HydrologyMalta College of Arts, Science and TechnologyFriedrich Schiller UniversityFriedrich Schiller UniversityLuxembourg Institute of Science and TechnologyCentre for Functional Ecology, Associate Laboratory TERRA, Department of Life Sciences, University of CoimbraNorwegian Institute for Nature ResearchUniversité de MonsUK Centre for Ecology and HydrologyAssociation NoéMeise Botanic GardenNaturalis Biodiversity CenterNaturalis Biodiversity CenterUniversity of TwenteFlumensNorwegian Biodiversity Information CentreFriedrich Schiller UniversityCentre for Functional Ecology, Associate Laboratory TERRA, Department of Life Sciences, University of CoimbraLuxembourg Institute of Science and TechnologyEnalia Physis Environmental Research CentreVermont Center for EcostudiesLuxembourg Institute of Science and TechnologyUniversity of MonsUniversity College LondonSwiss Federal Institute for Forest, Snow and Landscape Research WSLInstitute of Landscape Ecology & Centre for Integrative Biodiversity Research and Applied Ecology (CIBRA), University of MünsterBiodiversity Unit, Department of Biology, Lund UniversityCharles University in Prague, Faculty of ScienceOvidius University of ConstantaMcGill University; Mila Quebec AI InstituteÖkologische Beratung, Planung und ForschungUniversity of ExeterUK Centre for Ecology and HydrologyUniversity of TartuCroatian Natural History MuseumGlobal Biodiversity Information Facility - SecretariatFriedrich Schiller University Jena, Institute of BiodiversityUniversity of CopenhagenCESAM & Department of Biology, University of AveiroLuxembourg Institute of Science and TechnologyUniversity of the AegeanFaculty of Pure and Applied Sciences, Open University of CyprusEuropean Commission, Joint Research Centre (JRC)German Centre for Integrative Biodiversity Research (iDiv) Halle Jena LeipzigAgroecology Lab, Université libre de Bruxelles (ULB)Luxembourg Institute of Science and TechnologyAarhus UniversityThe 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.https://riojournal.com/article/134825/download/pdf/cameracomputer visionstatisticsautonomouss |
spellingShingle | Tom August Mario Balzan Paul Bodesheim Gunnar Brehm Lisette Cantú-Salazar Sílvia Castro Joseph Chipperfield Guillaume Ghisbain Alba Gomez-Segura Jérémie Goulnik Quentin Groom Laurens Hogeweg Chantal Huijbers Andreas Kamilaris Karolis Kazlauskis Wouter Koch Dimitri Korsch João Loureiro Youri Martin Angeliki Martinou Kent McFarland Xavier Mestdagh Denis Michez Charlie Outhwaite Luca Pegoraro Nadja Pernat Lars Pettersson Pavel Pipek Cristina Preda David Rolnick Tobias Roth David Roy Helen Roy Veljo Runnel Martina Sasic Dmitry Schigel Julie Sheard Cecilie Svenningsen Heliana Teixeira Nicolas Titeux Thomas Tscheulin Elli Tzirkalli Marijn van der Velde Roel van Klink Nicolas Vereecken Sarah Vray Toke Thomas Høye Using Image-based AI for insect monitoring and conservation - InsectAI COST Action Research Ideas and Outcomes camera computer vision statistics autonomous s |
title | Using Image-based AI for insect monitoring and conservation - InsectAI COST Action |
title_full | Using Image-based AI for insect monitoring and conservation - InsectAI COST Action |
title_fullStr | Using Image-based AI for insect monitoring and conservation - InsectAI COST Action |
title_full_unstemmed | Using Image-based AI for insect monitoring and conservation - InsectAI COST Action |
title_short | Using Image-based AI for insect monitoring and conservation - InsectAI COST Action |
title_sort | using image based ai for insect monitoring and conservation insectai cost action |
topic | camera computer vision statistics autonomous s |
url | https://riojournal.com/article/134825/download/pdf/ |
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