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Pl@ntNet

Pl@ntNet is a participatory science project available as an app that helps identify plants from photos, and invites users to join projects on plant biodiversity.

AI CodingDeveloper ToolsBiodiversityCitizen SciencePlant Identification

About Pl@ntNet

Pl@ntNet

According to the supplied page, Pl@ntNet is a citizen science project accessible as an application that helps users identify plants from their photos. The site invites visitors to use the app, understand how it works, and join participatory science projects on plant biodiversity. The page also describes contributing observations, collaborative review, donations, API and open data resources, research publications, and partner projects. It mentions 84710 species and 1475342717 images, and a 'Maladies & Ravageurs' feature for identifying threats to crops. The page is in French with an English language option.

Key features

  • Plant identification from photos via the Pl@ntNet application
  • Participatory science: sharing observations and contributing to the project
  • Maladies & Ravageurs feature for identifying what threatens crops
  • Developer API and open data resources (including GBIF and Pl@ntNet300K)
  • Collaborative review and group work options for contributors
  • Sample-based submission of plants (Soumettre une plante)

Best suited for

  • Users wanting to identify plants from photographs
  • Citizen scientists contributing to plant biodiversity observation
  • Developers seeking access to the Pl@ntNet API or open data
  • Researchers interested in plant identification and biodiversity data

Pricing

Not stated on the website

APIbiodiversitycitizen scienceimage recognitionopen databotanyplant identification

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