Technologies

Publish at May 13 2019 Updated February 05 2025

Pl@ntNet - Universal application for identifying plants from photos.

Image-based plant identification

Pl@ntNet is a participatory science project accessible in the form of a plant identification application based on your photos and an A.I. trained to recognize them.

Over 73,000 plant species are identified, accompanied by over 1 billion images. Each plant can be identified at different stages of its development, by its flowers, leaves, fruit, bark or other plant-specific characteristics.

The app is free and can be downloaded on iOS or Android, or consulted directly online.

Pl@ntnet is organized into different projects according to location or plant type

  • World flora
  • World flora
  • Useful plants
  • Cultivated and ornamental plants
  • Crop weeds
  • Invasive plants
  • Useful plants from tropical Africa
  • Useful plants from Asia
  • Western European plants
  • Plants from Canada
  • Plants from the United States
  • Plants from Guadeloupe
  • Plants from French Guiana
  • Plants from La Paz Valley, Bolivia
  • Plants from Martinique
  • Plants from North Africa
  • Plants from tropical Africa
  • Plants from La Réunion
  • Plants from Mauritius
  • Plants from Comoros
  • Eastern Mediterranean plants
  • Plants from New Caledonia
  • Plants from Hawaii
  • Plants from French Polynesia
  • Les Ecologistes de l'Euzière
  • Trees of South Africa
  • Provençal flora - Bouches-du-Rhône region
  • Gardens by the Bay - Cloud Forest - Singapore
  • Gardens by the Bay - Flower Dome - Singapore

PlantNet is an initiative supported by numerous scientific partners, including INRIA.

Learn more about this Technology

Visit inria.fr


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INRIA - National Institute for Research in Computer Science and Control

Domaine de Voluceau
Rocquencourt - B.P. 105
78153 Le Chesnay
France

Tél.: 33 (0)1 39 63 55 11

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