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Abstract
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.
However, the burden of the routine identication of plants and animals
in the eld is strongly penalizing the aggregation of new data and knowledge.
Identifying and naming living plants or animals is actually almost
impossible for the general public and often a dicult task for professionals
and naturalists. Bridging this gap is a key challenge towards enabling
eective biodiversity information retrieval systems. The LifeCLEF evaluation
campaign, presented in this paper, aims at boosting and evaluating
the advances in this domain since 2011. In particular, the 2019 edition
proposes three data-oriented challenges related to the identication and
prediction of biodiversity: (i) an image-based plant identication challenge,
(ii) a bird sounds identication challenge and (iii) a location-based
species prediction challenge based on spatial occurrence data and environmental
tensors.