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Abstract : Pl@ntNet is a participatory platform and information system dedicated to the production of botanical data through deep learning-based plant identification. It includes 3 main front-ends, an Android app (the most advanced and the most used one), an iOs app (being currently re-developed) and a web version. The main feature of the application is to return the ranked list of the most likely species providing an image or an image set of an individual plant. In addition, Pl@ntNet’s search engine returns the images of the dataset that are the most similar to the queried observation allowing interactive validation by the users. The back-office running on the server side of the platform is based on Snoop visual search engine (a software developed by ZENITH) and on NewSQL technologies for the data management. The application is distributed in more than 180 countries (10M downloads) and allows identifying about 20K plant species at present time.
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Contributor : Alexis Joly <>
Submitted on : Thursday, April 11, 2019 - 9:15:00 AM
Last modification on : Thursday, December 10, 2020 - 8:52:10 AM


Antoine Affouard, Jean-Christophe Lombardo, Hervé Goëau, Pierre Bonnet, Alexis Joly. Pl@ntNet. 2019. ⟨hal-02096020⟩



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