PlantNet : un outil pour identifier la biodiversité végétale, entre savoirs botaniques et numérique

Speaker : Marc Jaeger (CIRAD), deputy director of joint research Amap unit (http://amap.cirad.fr ) 

Introduction to the Pl@ntNet citizen science platform : Pl@ntNet is an identification system that helps you identify plants through images. It is a research and a citizen science project, initially supported by Agropolis Foundation, and developed since 2009 within the framework of a consortium bringing together Cirad, INRA, Inria, and IRD. Pl@ntNet is a citizen science platform that uses artificial intelligence (AI) to facilitate the identification and inventory of plant species. It is one of the world’s largest biodiversity observatories, with several million contributors in over 200 countries.

The Pl@ntNet application, available in web and smartphone versions, lets you identify tens of thousands of plant species simply by taking a photo of them.Pl@ntNet is based on a cooperative learning principle. Users who have created an account can share their observations, which can then be reviewed by the community and used by the AI to teach it to recognize plants. It is possible, for example, to confirm the name of a species, or to suggest another determination if you know a little about botany. Only observations that achieve a sufficient degree of confidence are then added to the public database and used to train the AI.