César Leblanc

César Leblanc

he/him

Third year PhD student at Inria and University of Montpellier working on artificial intelligence and biodiversity within the Pl@ntNet team

Publications

This is just an overview. You can find the complete list of my publications on my Google Scholar profile.

Journal Articles

Fully automatic extraction of morphological traits from the Web: utopia or reality?

Published in Applications in Plant Sciences, 2024

This paper explores the feasibility of using large language models to automatically extract morphological traits of plants from unstructured online text, presenting a novel approach that achieves high accuracy in trait identification.

Recommended citation: Marcos, D., van de Vlasakker, R., Athanasiadis, I. N., Bonnet, P., Goeau, H., Joly, A., ... & Panousis, K. P. (2024). Fully automatic extraction of morphological traits from the Web: utopia or reality?. arXiv preprint arXiv:2409.17179.
Download Paper

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

Published in Applied Vegetation Science, 2024

This paper introduces a novel deep-learning framework designed to improve habitat identification based on species composition, providing significant advancements over traditional expert systems.

Recommended citation: Leblanc, C., Bonnet, P., Servajean, M., Chytrý, M., Aćić, S., Argagnon, O., ... & Joly, A. (2024). A deep‐learning framework for enhancing habitat identification based on species composition. Applied Vegetation Science, 27(3), e12802.
Download Paper

Conference Papers

GeoPlant: Spatial Plant Species Prediction Dataset

Published in Advances in Neural Information Processing Systems, 2024, 2024

This paper presents GeoPlant, a novel European-scale dataset designed to advance species distribution modeling by integrating 5M Presence-Only records, 90k Presence-Absence surveys, environmental rasters, and high-resolution satellite imagery to predict over 10,000 plant species.

Recommended citation: Picek, L., Botella, C., Servajean, M., Leblanc, C., Palard, R., Larcher, T., ... & Joly, A. (2024, December). GeoPlant: Spatial Plant Species Prediction Dataset. In NEURIPS 2024.
Download Paper

Species Distribution Modeling based on aerial images and environmental features with Convolutional Neural Networks

Published in CLEF (Working Notes), 2022

This paper presents an approach to species distribution modeling using convolutional neural networks, integrating aerial imagery and environmental data to predict species presence across diverse geographical locations.

Recommended citation: Leblanc, C., Joly, A., Lorieul, T., Servajean, M., & Bonnet, P. (2022, September). Species Distribution Modeling based on aerial images and environmental features with Convolutional Neural Networks. In CLEF (Working Notes) (pp. 2123-2150).
Download Paper