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Pl@ntNet
Identify plants through photos with citizen science-powered AI

What is Pl@ntNet?

Pl@ntNet is an innovative citizen science platform that combines artificial intelligence with community participation to help users identify plants through photographs. The application leverages advanced image recognition technology to analyze plant photos and provide accurate species identification.

The platform serves as both a practical tool for plant identification and a valuable scientific resource, contributing to botanical research and biodiversity documentation worldwide. With over 51,000 species and more than 1 billion images in its database, Pl@ntNet has established itself as a leading collaborative platform for plant identification and botanical knowledge sharing.

Features

  • AI-Powered Recognition: Advanced image analysis for plant identification
  • Offline Mode: Identify plants without internet connection
  • Global Flora Coverage: Access to worldwide plant species database
  • Collaborative Platform: Community-driven data validation and contribution
  • Citizen Science Integration: Direct contribution to botanical research
  • Group Functionality: Collaborative learning and sharing features

Use Cases

  • Plant species identification in the field
  • Botanical research and documentation
  • Educational activities and teaching
  • Biodiversity monitoring
  • Environmental conservation projects
  • Personal garden plant identification

FAQs

  • Can I use Pl@ntNet without an internet connection?
    Yes, Pl@ntNet offers an offline mode that allows you to identify plants without internet connectivity.
  • How many plant species can Pl@ntNet identify?
    Pl@ntNet can identify over 51,000 plant species from its database.
  • How can I contribute to the Pl@ntNet project?
    You can contribute by sharing plant photos, participating in collaborative revision, creating an account, and supporting the project through donations.

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