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

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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Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: Pensoft Publishers 2025-02-01
Series:Research Ideas and Outcomes
Subjects:
camera
computer vision
statistics
autonomous
s
Online Access:https://riojournal.com/article/134825/download/pdf/
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