Pl@ntNet automatically identified occurrences
Citation
AFFOUARD A, JOLY A, LOMBARDO J, CHAMP J, GOEAU H, CHOUET M, GRESSE H, BOTELLA C, BONNET P (2023). Pl@ntNet automatically identified occurrences. Version 1.8. Pl@ntNet. Occurrence dataset https://doi.org/10.15468/mma2ec accessed via GBIF.org on 2024-12-09.Description
Pl@ntNet is a participatory botanical observation platform allowing to identify plants from photos (using deep learning) and to share the observations with the community. The platform has three main front-ends: Pl@ntNet androïd (http://bit.ly/1K4D1eU), Pl@ntNet iOS (http://apple.co/2cMtWgu) and Pl@ntNet web (https://identify.plantnet.org/). Pl@ntNet was founded in 2010 by a consortium of four French research organisms (CIRAD, Inria, INRAE and IRD) and is now open to other members. More information about Pl@ntNet can be found at https://plantnet.org/.The occurrences in this collection are Pl@ntNet observations that have been identified only by the deep learning algorithm but which the algorithm confidence was sufficiently high to consider them as valid.
Sampling Description
Study Extent
Entire world, Plantae.Sampling
No sampling protocol, opportunistic observations by Pl@ntNet users.Quality Control
The validation is based on two main criteria: - the output of the automated identification algorithm is greater than a threshold (more precisely the top-1 probability output by the convolutional neural network is greater than 0.9) - the species name matches the checklist considered as the most trusted one for the country where the observation was doneMethod steps
- This collection contains occurrences of plants automatically identified from the observations submitted by Pl@ntNet users to identify them (using one of the three applications: androïd, iOS, web, more information here: https://plantnet.org/). The following filters were applied: - is geolocated - is valid (top-1 softmax output > 0.9) - from a user with an enabled account or from an anonymous user - with a known species name (valid or synonym) in PN - species name != Cannabis - date_query > 0 - remove shared queries (already present in observation dataset) - remove duplicate session (keep the most recent query based on the session number) - must be in one of the WGSRPD polygon level 3 and the binomial species name (without author) must match a species of the corresponding Kew checklist
Taxonomic Coverages
Pl@ntNet observations focus on plants.
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Plantaecommon name: Plant rank: kingdom
Geographic Coverages
Plant observations from Pl@ntNet users come from all around the world.
Bibliographic Citations
- Joly, A., Goëau, H., Bonnet, P., Bakić, V., Barbe, J., Selmi, S., ... & Yahiaoui I., Carré J., Mouysset E., Molino J.-f., Boujemaa B., Barthélémy D., (2014). Interactive plant identification based on social image data. Ecological Informatics, 23, 22-34. - https://doi.org/10.1016/j.ecoinf.2013.07.006
- Joly, A., Bonnet, P., Goëau, H., Barbe, J., Selmi, S., Champ, J., Dufour-Kowalski, S., Affouard, A., Carré, J., Molino, J.-f., Boujemaa, N., & Barthélémy D., (2016). A look inside the Pl@ntNet experience. Multimedia Systems, 22(6), 751-766. - https://doi.org/10.1007/s00530-015-0462-9
- Goëau, H., Bonnet, P., Joly, A., 2017. Plant identification based on noisy web data: the amazing performance of deep learning (LifeCLEF 2017). CLEF: Conference and Labs of the Evaluation Forum, Sep 2017, Dublin, Ireland. ⟨hal-01629183⟩ - https://hal.archives-ouvertes.fr/hal-01629183
- Affouard, A., Goëau, H., Bonnet, P., Lombardo, J. C., & Joly, A., (2017). Pl@ntNet app in the era of deep learning. ICLR: International Conference on Learning Representations, Apr 2017, Toulon, France. ⟨hal-01629195⟩ - https://hal.archives-ouvertes.fr/hal-01629195
Contacts
Antoine AFFOUARDoriginator
position: Engineer
Inria
LIRMM
Montpellier
34095
FR
email: antoine.affouard@inria.fr
Alexis JOLY
originator
position: Research Director
Inria
LIRMM
Montpellier
34095
FR
email: alexis.joly@inria.fr
homepage: http://www-sop.inria.fr/members/Alexis.Joly/wiki/pmwiki.php
userId: https://orcid.org/0000-0002-2161-9940
Jean-Christophe LOMBARDO
originator
position: Research Engineer
Inria
LIRMM
Montpellier
34095
FR
email: jean-christophe.lombardo@inria.fr
homepage: http://www-sop.inria.fr/members/Jean-Christophe.Lombardo/
userId: https://orcid.org/0000-0002-9656-4219
Julien CHAMP
originator
position: Research Engineer
Inria
LIRMM
Montpellier
34095
FR
email: julien.champ@inria.fr
userId: https://orcid.org/0000-0002-2042-0411
Hervé GOEAU
originator
position: Researcher
CIRAD, AMAP Joint Research Unit
Cirad, Umr Amap - TA A-51/ps1, Bd de La Lironde
Montpellier Cedex 5 (France)
34398
FR
email: herve.goeau@cirad.fr
userId: https://orcid.org/0000-0003-3296-3795
Mathias CHOUET
originator
position: Engineer
Inria
LIRMM
Montpellier
34095
FR
email: mathias.chouet@cirad.fr
Hugo GRESSE
originator
position: Engineer
Inria
LIRMM
Montpellier
34095
FR
email: hugo.gresse@inria.fr
Christophe BOTELLA
originator
position: PostDoctoral fellow
Inria
LIRMM
Montpellier
34095
FR
email: christophe.botella@inria.fr
homepage: http://www.christophebotella.fr
userId: https://orcid.org/0000-0002-5249-911X
Pierre BONNET
originator
position: Botanist
CIRAD, AMAP Joint Research Unit
Cirad, Umr Amap - TA A-51/ps1, Bd de La Lironde
Montpellier Cedex 5 (France)
34398
FR
email: pierre.bonnet@cirad.fr
homepage: http://agents.cirad.fr/index.php/Pierre+BONNET
userId: https://orcid.org/0000-0002-2828-4389
Antoine AFFOUARD
metadata author
position: Engineer
Inria
LIRMM
Montpellier
34095
FR
email: antoine.affouard@inria.fr
Antoine AFFOUARD
programmer
position: Engineer
Inria
LIRMM
Montpellier
34095
FR
email: antoine.affouard@inria.fr
Pierre BONNET
administrative point of contact
position: Botanist
CIRAD, AMAP Joint Research Unit
Cirad, Umr Amap - TA A-51/ps1, Bd de La Lironde
Montpellier Cedex 5 (France)
34398
FR
email: pierre.bonnet@cirad.fr
homepage: http://agents.cirad.fr/index.php/Pierre+BONNET
userId: https://orcid.org/0000-0002-2828-4389