Library

2024 | Journal paper

A deep-learning framework for enhancing habitat identification based on species composition

Authors: César Leblanc, Pierre Bonnet, Maximilien Servajean, Milan Chytrý, Svetlana Aćić, Olivier Argagnon, Ariel Bergamini, Idoia Biurrun, Gianmaria Bonari, Juan A. Campos, Andraž Čarni, Renata Ćušterevska, Michele De Sanctis, Jürgen Dengler, Emmanuel Garbolino, Valentin Golub, Ute Jandt, Florian Jansen, Maria Lebedeva, Jonathan Lenoir, Jesper Erenskjold Moeslund, Aaron Pérez-Haase, Remigiusz Pielech, Jozef Šibík, Zvjezdana Stančić, Angela Stanisci, Grzegorz Swacha, Domas Uogintas, Kiril Vassilev, Thomas Wohlgemuth, Alexis Joly

Status: Published
Journal: Applied Vegetation Science
Volume/Issue: 27/3
Publisher: IAVS

2024 | Proceedings paper

AI Species Identification Using Image and Sound Recognition for Citizen Science, Collection Management and Biomonitoring: From Training Pipeline to Large-Scale Models

Authors: Laurens Hogeweg, Ni Yan, Django Brunink, Khadija Ezzaki-Chokri, Wilfred Gerritsen, Rita Pucci, Burooj Ghani, Dan Stowell, Vincent J. Kalkman

Status: Published
Proceedings: Biodiversity Information Standards (TDWG)
Volume/Issue: 2024
Publisher: Pensoft Publishers

2024 | Deliverable

D2.3 Deliver framework and its technical implementation of MAMBO tools and technology supporting EU Pollinator Initiative

Authors: Ana Maria Feijoo Quezada, Koos Biesmeijer, Niels Raes

Status: Subject to change
Deliverable number: D2.3

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2024 | Journal paper

Can we harmonize the monitoring of plants and pollinators? Meeting report on the symposium ‘New solutions to monitor plants, pollinators and their interactions in a changing world’, held at Collège de France and Muséum national d'Histoire naturelle, Paris

Authors: Emmanuelle Porcher, Pierre Bonnet, Christian Damgaard, Pieter De Frenne, Nicolas Deguines, Bodil K. Ehlers, Jérôme Frei, María B. García, Clément Gros, Ute Jandt, Alexis Joly, Gabrielle Martin, Denis Michez, Oliver L. Pescott, Tobias Roth, Donald Waller

Status: Published
Journal: New Phytologist
Volume/Issue: 244/1
Publisher: New Phytologist Foundation

2024 | Journal paper

Towards a standardized framework for AI-assisted, image-based monitoring of nocturnal insects

Authors: Roy D. B., Alison J., August T. A., Bélisle M., Bjerge K., Bowden J. J., Bunsen M. J., Cunha F., Geissmann Q., Goldmann K., Gomez-Segura A., Jain A., Huijbers C., Larrivée M., Lawson J. L., Mann H. M., Mazerolle M. J., McFarland K. P., Pasi L., Peters S., Pinoy N., Rolnick D., Skinner G. L., Strickson O. T., Svenning A., Teagle S., Høye T.T

Status: Published
Journal: Philosophical transactions of the Royal Society B
Volume/Issue: 379/1904
Publisher: The Royal Society Publishing

2024 | Journal paper

Efficient Speech Detection in Environmental Audio Using Acoustic Recognition and Knowledge Distillation

Authors: Drew Priebe, Burooj Ghani, Dan Stowell

Status: Published
Journal: Sensors
Volume/Issue: 24/7
Publisher: MDPI

2024 | Deliverable

D4.2 Assessment of interoperability and maturity for upscaling habitat condition metrics

Authors: W. Daniel Kissling, Yifang Shi, Jinhu Wang, Agata Walicka, Charles George, Jesper E. Moeslund, France Gerard

Status: Approved
Deliverable number: D4.2

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2024 | Deliverable

D4.7 Open-source deep learning framework for habitat extent mapping

Authors: Théo Larcher, Alexis Joly

Status: Approved
Deliverable number: D4.7

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2024 | Deliverable

D1.3 Report on stakeholder mapping and network analysis

Authors: Lois Kinneen, Deepa Senapathi

Status: Approved
Deliverable number: D1.3

Download (3.29 MB)
2023 | Deliverable

D2.1 Report on optimal positioning and linkage of MAMBO tools to KCBD and RI landscape

Authors: Ana Maria Feijoo Quezada, Sarah Anderson, Niels Raes

Status: Approved
Deliverable number: D2.1

Download (1.19 MB)
2023 | Deliverable

D2.2 Guidelines for data standards and technical specifications of MAMBO tools

Authors: Alexis Joly, Niels Raes, Dan Stowell

Status: Approved
Deliverable number: D2.2

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2023 | Journal paper

Hierarchical classification of insects with multitask learning and anomaly detection

Authors: Kim Bjerge, Quentin Geissmann, Jamie Alison, Hjalte M.R. Mann, Toke T. Høye, Mads Dyrmann, Henrik Karstoft

Status: Published
Journal: Ecological Informatics
Volume/Issue: Volume 77
Publisher: Elsevier

2023 | Deliverable

D1.1 Report on stakeholder needs

Authors: Lois Kinneen, Deepa Senapathi

Status: Approved
Deliverable number: D 1.1

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2023 | Journal paper

Performance, effectiveness and computational efficiency of powerline extraction methods for quantifying ecosystem structure from light detection and ranging

Authors: W.D.Kissling, Yifang Shi

Status: Published
Journal: GIScience & Remote Sensing
Volume/Issue: 60:1
Publisher: Taylor and Francis Group

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2023 | Proceedings paper

Comparison between transformers and convolutional models for fine-grained classification of insects

Authors: Rita Pucci, Vincent J. Kalkman, Dan Stowell

Status: Published
Journal: Workshop Camera Traps, AI and Ecology
Proceedings: Workshop Camera Traps, AI and Ecology
Publisher: Computer Vision Group Jena