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Pl@ntNet

App and website for plant identification From Wikipedia, the free encyclopedia

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

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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]).

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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

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