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Author

Alexis Joly

10 articles by this author

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Conference Abstract

Published in: Biodiversity Information Science and Standards

Adapting a Globally-Trained Plant Identification Model for Multi-Species Detection of Invasive Alien Plants in Roadside Imagery

Hervé Goëau, Vincent Espitalier, Jean-Christophe Lombardo, Christophe Botella, Toke Thomas Høye, Mads Dyrmann, Pierre Bonnet, Alexis Joly

Part of: MAMBO – Modern Approaches to the Monitoring of Biodiversity

10.3897/biss.10.183020

08-01-2026

Conference Abstract

Published in: Biodiversity Information Science and Standards

PlantCLEF 2025: Advancing AI-based Multi-Species Plant Identification in Vegetation Quadrats for Supporting Environmental Law and Biodiversity Monitoring

Giulio Martellucci, Hervé Goëau, Pierre Bonnet, Fabrice Vinatier, Alexis Joly

Part of: MAMBO – Modern Approaches to the Monitoring of Biodiversity

10.3897/biss.9.181733

15-12-2025

Conference Abstract

Published in: Biodiversity Information Science and Standards

Challenges in Using AI-Based Citizen-Generated Plant Observations as Forensic Evidence in Biodiversity Investigations

Pierre Bonnet, Antoine Affouard, Mathias Chouet, Jean-Christophe Lombardo, Hugo Gresse, Thomas Paillot, Vanessa Hequet, Hervé Goëau, Alexis Joly

Part of: MAMBO – Modern Approaches to the Monitoring of Biodiversity

10.3897/biss.9.181619

09-12-2025

Conference Abstract

Published in: Biodiversity Information Science and Standards

GeoPl@ntNet: A High-Resolution Biodiversity Mapping Platform for Environmental Forensics

Rémi Palard, César Leblanc, Lukas Picek, Benjamin Deneu, Thomas Paillot, Antoine Affouard, Mathias Chouet, Maximilien Servajean, Pierre Bonnet, Alexis Joly

Part of: MAMBO – Modern Approaches to the Monitoring of Biodiversity

10.3897/biss.9.181374

08-12-2025

Research Article

Published in: arXiv

Overview of PlantCLEF 2023: Image-based Plant Identification at Global Scale

Herve Goeau, Pierre Bonnet, Alexis Joly

Part of: MAMBO – Modern Approaches to the Monitoring of Biodiversity

10.48550/arXiv.2509.17622

22-09-2025

Research Article

Published in: arXiv

Applying the maximum entropy principle to neural networks enhances multi-species distribution models

Maxime Ryckewaert, Diego Marcos, Christophe Botella, Maximilien Servajean, Pierre Bonnet, Alexis Joly

Part of: B-Cubed – Biodiversity Building Blocks for Policy

10.48550/arXiv.2412.19217

26-12-2024

Other

Published in: Zenodo

PlantCLEF 2024 pretrained models on the flora of the south western Europe based on a subset of Pl@ntNet collaborative images and a ViT base patch 14 dinoV2

Hervé Goëau, Jean-Christophe Lombardo, Antoine Affouard, Vincent Espitalier, Pierre Bonnet, Alexis Joly

Part of: MAMBO – Modern Approaches to the Monitoring of Biodiversity

10.5281/zenodo.10848263

21-03-2024

Research Article

Published in: arXiv

Modelling Species Distributions with Deep Learning to Predict Plant Extinction Risk and Assess Climate Change Impacts

Joaquim Estopinan, Pierre Bonnet, Maximilien Servajean, François Munoz, Alexis Joly

Part of: MAMBO – Modern Approaches to the Monitoring of Biodiversity

10.48550/arXiv.2401.05470

10-01-2024

Forum Paper

Published in: Biodiversity Data Journal

Envisaging a global infrastructure to exploit the potential of digitised collections

Quentin Groom, Mathias Dillen, Wouter Addink, Arturo H. Ariño, Christian Bölling, Pierre Bonnet, Lorenzo Cecchi, Elizabeth R. Ellwood, Rui Figueira, Pierre-Yves Gagnier, Olwen Grace, Anton Güntsch, Helen Hardy, Pieter Huybrechts, Roger Hyam, Alexis Joly, Vamsi Krishna Kommineni, Isabel Larridon, Laurence Livermore, Ricardo Jorge Lopes, Sofie Meeus, Jeremy Miller, Kenzo Milleville, Renato Panda, Marc Pignal, Jorrit Poelen, Blagoj Ristevski, Tim Robertson, Cristina Rufino, Joaquim Santos, Maarten Schermer, Ben Scott, Katja Seltmann, Heliana Teixeira, Maarten Trekels, Jitendra Gaikwad

Part of: Towards interlinked FAIR biodiversity knowledge: The BiCIKL perspective

10.3897/BDJ.11.e109439

30-11-2023

Conference Abstract

Published in: Biodiversity Information Science and Standards

Synergizing Digital, Biological, and Participatory Sciences for Global Plant Species Identification: Enabling access to a worldwide identification service

Part of: MAMBO – Modern Approaches to the Monitoring of Biodiversity

10.3897/biss.7.112545

12-09-2023

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