Behind the scenes of Pl@ntNet with The Conversation
The Pl@ntNet platform is reaching a new level of recognition with an interview published by The Conversation. On this occasion, Pierre Bonnet and Alexis Joly take a detailed look back …
The Pl@ntNet platform is reaching a new level of recognition with an interview published by The Conversation. On this occasion, Pierre Bonnet and Alexis Joly take a detailed look back …
From February 2nd to the 4th, the Pl@ntNet team attended the annual meeting of the CoForFunc project to present its activities around a new development: the identification of tropical forest …
The Pl@ntNet mission in Gabon that we mentioned recently was a resounding success, particularly during the training sessions held in Franceville by Murielle Simo-Droissart and Daniel BarthĂ©lĂ©my, which brought together …
This is a major milestone for the Pl@ntNet team. The Pl@ntNet API has just surpassed 100 million identifications performed! This figure represents an important step for the service and, above …
As part of the OFVI (One Forest Vision) initiative, a training mission dedicated to Pl@ntNet is currently underway in Gabon. This initiative is a scientific and international cooperation program launched …
Pl@ntNet had the pleasure of hosting for the past two weeks Étienne LalibertĂ©, a researcher at MILA (MontrĂ©al Institute for Learning Algorithms). Currently visiting Montpellier, he met with the Pl@ntNet …
The first training session on the use of the Pl@ntNet application in Uganda was recently held. Five one-day training sessions, combining both theoretical and practical components, took place at the …
On September 16th, the Pl@ntNet team organized an online training session for French-speaking audiences that brought together 130 participants around two new tools joining the Pl@ntNet ecosystem: GeoPl@ntNet and Pl@ntNet …
The 23rd Congress of AETFAT (Association for the Taxonomy of Tropical African Flora), held at the University of Ghana in Accra, highlighted the growing role of digital tools in the …
In recent years, automated plant disease identification has been introduced to potentially compensate for the lack of disease identification capabilities by humans. Deep learning has emerged as one of the …