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

Joly, Alexis (Inria, LIRMM, Montpellier, France) ; Müller, Henning (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)) ; et al.

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 identication 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.


Faculty:
Economie et Services
School:
HEG-VS
Institute:
Institut Informatique de gestion
Subject(s):
Informatique
Publisher:
Cham, Springer
Date:
2019-08
Cham
Springer
Pagination:
pp. 387-401
Published in:
Experimental IR meets multilinguality, multimodality, and interaction : 10th International Conference of the CLEF Association, CLEF 2019, Lugano, Switzerland, September 9–12, 2019, Proceedings
Series Statement:
Lecture Notes in Computer Science, vol. 11696
Author of the book:
Crestani, Fabio ; ed.; Universita della Svizzera Italiana Lugano
Müller, Henning ; ed. ; University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)
et al.
DOI:
ISSN:
0302-9743
ISBN:
978-3-030-28576-0
Appears in Collection:

Note: The status of this file is: restricted


 Record created 2019-11-04, last modified 2019-11-28

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