---
title: "Pl@ntNet"
chunk: 1/1
source: "https://en.wikipedia.org/wiki/Pl@ntNet"
category: "reference"
tags: "science, encyclopedia"
date_saved: "2026-05-05T04:15:31.124746+00:00"
instance: "kb-cron"
---

Pl@ntNet is a citizen science project for automatic plant identification through photographs and based on machine learning. Users take a photograph, and the system can identify it as one of more than 77,000 plant species. Pl@ntNet has processed more than a billion photographs from users.


== 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 
).
Starting in 2022, the Pl@ntNet system received many improvements as a result of research projects "MAMBO" and "GUARDEN" funded by Horizon Europe. Improvements included a standardised taxonomic list of species (using POWO), and an improved computer vision algorithm (using a vision transformer).


== Platforms ==
An app for smartphones (and a web version) was launched in 2013, 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.


== Awards ==
2020 : the Inria prize of the Académie des sciences.


== Projects ==
In 2019, Pl@ntNet has 22 projects:


== References ==