Pl@ntNet is an AI-powered plant identification platform and a citizen science project. Users can upload plant photos to get species information while contributing data to support global biodiversity research.
Users can capture or upload 1 to 5 clear photos of a plant (e.g., leaves, flowers) via the website or mobile app; the AI analyzes and returns a list of possible species with details.
According to its public statements, Pl@ntNet is free to use, with no ads and no selling of user data.
Accuracy depends on photo quality, which part of the plant is photographed, and how well the species is represented in the database. The platform uses community validation and continuously updated AI models to improve performance.
No account is required for basic identifications. Creating an account lets you upload observations, manage your records, and contribute to the community.
Its database covers tens of thousands of wild and cultivated plants, but coverage may vary by region and species; some ornamental or garden plants may be less well covered.
As described, uploaded photos are anonymized and may be used to train AI models and contribute to public science databases. Users typically retain their rights.
The platform supports multiple languages, including a Chinese interface.
The mobile app offers offline identification, ideal for outdoors or areas with poor connectivity.
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