Pl@ntNet observations Singapore

Occurrence
Latest version published by Test Organization #1 on Apr 17, 2023 Test Organization #1
Publication date:
17 April 2023
Published by:
Test Organization #1
License:
CC-BY 4.0

Download the latest version of this resource data as a Darwin Core Archive (DwC-A) or the resource metadata as EML or RTF:

Data as a DwC-A file download 29 records in English (5 KB) - Update frequency: as needed
Metadata as an EML file download in English (17 KB)
Metadata as an RTF file download in English (10 KB)

Description

Pl@ntNet is a participatory botanical observation platform. More information about Pl@ntNet project can be found at https://plantnet.org/. The observations in this resource are the ones for which the authors agree to share the associated pictures under a creative common licence and for which the species name is considered as valid.

Data Records

The data in this occurrence resource has been published as a Darwin Core Archive (DwC-A), which is a standardized format for sharing biodiversity data as a set of one or more data tables. The core data table contains 29 records.

This IPT archives the data and thus serves as the data repository. The data and resource metadata are available for download in the downloads section. The versions table lists other versions of the resource that have been made publicly available and allows tracking changes made to the resource over time.

Versions

The table below shows only published versions of the resource that are publicly accessible.

How to cite

Researchers should cite this work as follows:

AFFOUARD A, JOLY A, LOMBARDO J, CHAMP J, GOEAU H, CHOUET M, GRESSE H, BONNET P (2023): Pl@ntNet observations. v1.8. Pl@ntNet. Dataset/Occurrence. https://ipt.plantnet.org/resource?r=observations&v=1.8

Rights

Researchers should respect the following rights statement:

The publisher and rights holder of this work is Test Organization #1. This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License.

GBIF Registration

This resource has been registered with GBIF, and assigned the following GBIF UUID: 9e22f566-96f6-4035-8d2d-ec737acfa29d.  Test Organization #1 publishes this resource, and is itself registered in GBIF as a data publisher endorsed by GBIF Secretariat.

Keywords

Occurrence; Occurrence

Contacts

Antoine AFFOUARD
  • Metadata Provider
  • Programmer
  • Originator
Engineer
Inria
LIRMM
34095 Montpellier
FR
Jean-Christophe LOMBARDO
Julien CHAMP
  • Originator
Research Engineer
Inria
LIRMM
34095 Montpellier
FR
Hervé GOEAU
  • Originator
Researcher
CIRAD, AMAP Joint Research Unit
Cirad, Umr Amap - TA A-51/ps1, Bd de La Lironde
34398 Montpellier Cedex 5 (France)
FR
Mathias CHOUET
  • Originator
Engineer
Inria
LIRMM
34095 Montpellier
FR
Hugo GRESSE
  • Originator
Engineer
Inria
LIRMM
34095 Montpellier
FR
Pierre BONNET
  • Originator
  • Point Of Contact
Botanist
CIRAD, AMAP Joint Research Unit
Cirad, Umr Amap - TA A-51/ps1, Bd de La Lironde
34398 Montpellier Cedex 5 (France)
FR

Geographic Coverage

Plant observations from Pl@ntNet network come from all around the world.

Bounding Coordinates South West [-90, -180], North East [90, 180]

Taxonomic Coverage

Pl@ntNet observations focus on plants.

Kingdom Plantae (Plant)

Project Data

PlantNet is a participatory botanical observation platform allowing to identify plants from photos (using deep learning) and share observations with the community. This resource contains illustrated observations explicitly shared by PlantNet users under a Creative Common license.

Title Pl@ntNet Observations Singapore
Identifier PN-obs-SG
Funding PlantNet is an open consortium founded by four French research organizations (CIRAD, Inria, INRAE, IRD) and supported by Agropolis Fondation. The two main funding resources are: (i) the annual contribution of the members of the consortium, (ii) donations from the end-users of PlantNet application (>10 million users).
Study Area Description Entire world

The personnel involved in the project:

Antoine AFFOUARD
  • Programmer
Alexis JOLY
Pierre BONNET

Bibliographic Citations

  1. 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
  2. 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
  3. 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
  4. 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

Additional Metadata