Pl@ntNet

Pl@ntNet is a citizen science project for automatic plant identification through photographs and based on machine learning.

Pl@ntNet
Available inArabic, Chinese, Czech, English, Dutch, Finnish, French, German, Greek, Hebrew, Indonesian, Italian, Polish, Portuguese, Russian, Slovak, Spanish, Turkish, Ukrainian
URLplantnet.org/en/
CommercialNo
Registrationnot required
Users10 million total downloads (as of 2019)[1]
Launched2009 (2009) (2013 as an app)[2]
Current statusActive

History

This project launched in 2009 has been developed by scientists (computer engineers and botanists) from a consortium gathering French research institutes (Institut de recherche pour le développement (IRD), Centre de coopération internationale en recherche agronomique pour le développement (CIRAD), Institut national de la recherche agronomique (INRA), Institut national de recherche en informatique et en automatique (INRIA) and the network Tela Botanica, with the support of Agropolis Fondation [2][3]).

Platforms

An app for smartphones (and a web version) was launched in 2013,[4] which allows to identify thousands of plant species from photographs taken by the user. It is available in several languages.

As of 2019 it had been downloaded over 10 million times, in more than 180 countries worldwide.[1]

Projects

In 2019, Pl@ntNet has 22 projects:[5]

References
  1. Affouard, Antoine (11 April 2019). "Pl@ntNet". Hyper articles en ligne. Retrieved 2020-03-21.
  2. "Pl@ntNet is the world's best social network". Quartz (publication). Retrieved 22 March 2020.
  3. "Need to identify plants or trees around you? Use your smartphone!". European Commission. 25 August 2017. Retrieved 2020-03-22.
  4. "Pl@ntNet: lots of improvements to the plant identification app". CIRAD. Retrieved 2020-03-21.
  5. "What is Pl@ntNet?". Pl@ntNet website. Retrieved 2020-03-21.
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