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 …
Pl@ntNet takes root in Uganda: first training sessions bring together students and researchers
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 …
Pl@ntNet at AETFAT 2025: when artificial intelligence strengthens botanical research in Africa
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 …
Pl@ntNet and CLCPRO: An Innovative Collaboration Supporting Locust Control in West Africa
Introduction For several decades, cyclical desert locust invasions have seriously threatened the livelihoods of millions of people in the arid and semi-arid regions of West Africa. Capable of migrating thousands …
Revolutionizing plant disease detection with Vision Transformers and Convolutional Neural Networks approaches!
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 …
GeoPl@ntNet, a new service to discover the species around you
Have you ever wondered what plants you might see around you, or on your next walk? This service could help you answer that question.
A Pl@ntNet dataset for machine learning researchers
Direct link to the dataset: https://zenodo.org/record/4726653#.YhNbAOjMJPY Plant identification is a difficult problem. Indeed, there are about 400K species of plants on earth and the problem is that the morphological characteristics that …
Your Pl@ntNet data integrated into GBIF
The most reliable observations from Pl@ntNet are now integrated into the GBIF international database. The GBIF-Global Biodiversity Information Facility-is an international network and research infrastructure funded by the world’s governments …
A book to thank you (and to advance research)
This book, entitled âMultimedia Tools and Applications for Environmental & Biodiversity Informaticsâ focuses on the latest and most impactful advancements of multimedia data globally available for environmental and earth biodiversity. …
Automatic recognition of birds and plants becomes more and more simple – Results from the 2018 edition of LifeClef
Every year since 2011, our team is helping to organize an international machine learning competition to improve our knowledge about automatic life recognition: LifeCLEF. Over the years, teams from around …
