Biodiversity Information Science and Standards : Conference Abstract
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Corresponding author: Pierre Bonnet (pierre.bonnet@cirad.fr)
Received: 02 Apr 2018 | Published: 17 May 2018
© 2018 Pierre Bonnet, Christophe Botella, François Munoz, Pascal Monestiez, Mathias Chouet, Hervé Goëau, Alexis Joly
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation: Bonnet P, Botella C, Munoz F, Monestiez P, Chouet M, Goëau H, Joly A (2018) Automated Identification of Citizen Science Observations for Ecological Studies. Biodiversity Information Science and Standards 2: e25450. https://doi.org/10.3897/biss.2.25450
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Pl@ntNet is an international initiative which was the first one attempting to combine the force of citizens networks with automated identification tools based on machine learning technologies (
The analysis of the data collected by Pl@ntnet users, which represent more than 24 millions of observations up to now, has a high potential for different ecological and management questions. A recent work (
Citizen science, Automated plant identification, Machine learning, Species distribution, Phenology
Pierre Bonnet