Pl@ntNet is a citizen science project and mobile application that helps users identify plants from photographs. It is built on a system of image recognition and relies on a large database of species, images, and floras contributed by the community. The platform is used by researchers, botanists, and the general public to identify plants and contribute observations to biodiversity science. The project is supported by research institutions including CIRAD, INRAE, INRIA, and IRD, and provides an API for developers. It also publishes open data and participates in EU research projects such as Cos4Cloud, MAMBO, and GUARDEN.
Key Benefits
- Identifies plants from a single picture
- Citizen science project contributing to biodiversity research
- Free to use with mobile apps and web version
- Large database of species and images