LifeCLEF 2024 Teaser: Challenges on Species Distribution Prediction and Identification-Reference-Cited by-同舟云学术

LifeCLEF 2024 Teaser: Challenges on Species Distribution Prediction and Identification

Published:2024 Issue: Volume: Page:19-27
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:en
Short-container-title:

Author:

Joly Alexis^ORCID,Picek Lukáš^ORCID,Kahl Stefan^ORCID,Goëau Hervé^ORCID,Espitalier Vincent,Botella Christophe^ORCID,Deneu Benjamin^ORCID,Marcos Diego^ORCID,Estopinan Joaquim,Leblanc Cesar,Larcher Théo,Šulc Milan,Hrúz Marek^ORCID,Servajean Maximilien^ORCID,Matas Jiří,Glotin Hervé^ORCID,Planqué Robert^ORCID,Vellinga Willem-Pier^ORCID,Klinck Holger^ORCID,Denton Tom,Durso Andrew M.,Eggel Ivan,Bonnet Pierre^ORCID,Müller Henning^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-56072-9_3

Reference31 articles.

1. Convention on Biodiversity. https://www.cbd.int/

2. LifeCLEF. http://www.lifeclef.org/

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4. Bolon, I., Picek, L., Durso, A.M., Alcoba, G., Chappuis, F., Ruiz de Castañeda, R.: An artificial intelligence model to identify snakes from across the world: Opportunities and challenges for global health and herpetology. PLOS Neglected Tropical Diseases 16(8), e0010647 (2022)

5. Bonnet, P., et al.: Plant identification: experts vs. machines in the era of deep learning. In: Multimedia Tools and Applications for Environmental & Biodiversity Informatics, pp. 131–149. Springer (2018)

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