Overview of LifeCLEF 2019: Identification of Amazonian plants, south and north American birds, and niche prediction

Joly Alexis, Goeau Hervé, Botella Christophe, Kahl Stefan, Servajean Maximilien, Glotin Hervé, Bonnet Pierre, Planqué Robert, Stöter Fabian-Robert, Vellinga Willem-Pier, Müller Henning. 2019. Overview of LifeCLEF 2019: Identification of Amazonian plants, south and north American birds, and niche prediction. In : Experimental IR meets multilinguality, multimodality, and interaction: 10th International Conference of the CLEF Association, CLEF 2019, Lugano, Switzerland, September 9–12, 2019, Proceedings. Crestani Fabio (ed.), Braschler Martin (ed.), Savoy Jacques (ed.), Rauber Andreas (ed.), Müller Henning (ed.), Losada David E. (ed.), Bürki Gundula Heinatz (ed.), Cappellato Linda (ed.), Ferro Nicola (ed.). Cham : Springer, 387-401. (Lecture Notes in Computer Science, 11696) ISBN 978-3-030-28576-0 International Conference of the CLEF Association (CLEF 2019). 10, Lugano, Suisse, 9 Septembre 2019/12 Septembre 2019.

https://doi.org/10.1007/978-3-030-28577-7_29

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Résumé : Building accurate knowledge of the identity, the geographic distribution and the evolution of living species is essential for a sustainable development of humanity, as well as for biodiversity conservation. Unfortunately, such basic information is often only partially available for professional stakeholders, teachers, scientists and citizens, and often incomplete for ecosystems that possess the highest diversity. In this context, an ultimate ambition is to set up innovative information systems relying on the automated identification and understanding of living organisms as a means to engage massive crowds of observers and boost the production of biodiversity and agro-biodiversity data. The LifeCLEF 2019 initiative proposes three data-oriented challenges related to this vision, in the continuity of the previous editions but with several consistent novelties intended to push the boundaries of the state-of-the-art in several research directions. This paper describes the methodology of the conducted evaluations as well as the synthesis of the main results and lessons learned.

Mots-clés Agrovoc : identification, biodiversité, détermination des espèces, flore, Aves, agrobiodiversité

Mots-clés géographiques Agrovoc : Guyane française, Suriname, Guyana, Brésil, Amapa, Para, Amazonas, Amérique du Nord, Amérique du Sud, États-Unis d'Amérique

Mots-clés libres : Species identification, Niche prediction, Amazonian flora, Biodiversity, Multimedia data

Classification Agris : P01 - Conservation de la nature et ressources foncières
F70 - Taxonomie végétale et phytogéographie
L60 - Taxonomie et géographie animales

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