Pl@ntNet

Identify plants from photos using image recognition technology, and contribute to biodiversity research by reporting observations and exploring species near your location.
Image Recognition Citizen Science Biodiversity Conservation

Pl@ntNet is a citizen science project that uses artificial intelligence to identify plants from photos and to promote biodiversity. Its main purpose is to help people identify plants they see by taking photos, making it a fun tool for botany buffs and people who want to get more involved in conservation.

Pl@ntNet is available as a mobile app, using image recognition technology to do the heavy lifting of identification. People can also contribute to the project by reporting what they've seen, and the community reviews the reports to improve the AI. That means both experts and novices can contribute, but experts get more clout in the review process.

Among the features of Pl@ntNet:

  • Image Recognition: Identify plants with photos.
  • Citizen Science: Contribute to biodiversity research by reporting observations.
  • Offline Identification: Identify plants even when you don't have a network connection.
  • GeoPl@ntNet: See what plant species are near your location.
  • Microprojects: Create focused projects for specific areas or plant types.

Pl@ntNet is designed to be easy to use, with tutorials and explanations about how to get the most out of the app. The service also supports groups, so teachers, park rangers or enthusiasts can coordinate plant identification projects.

By using Pl@ntNet, people can help preserve biodiversity and learn more about plant species. The project depends on people continuing to contribute and donate to keep the project running and the service free.

Published on July 3, 2024

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