Skip to content
Pl@ntNet
Menu
  • Use
  • UNDERSTAND
    • How ? Why ?
    • Read more
    • News
    • FAQ
    • Press
    • Consortium
    • Partners
    • Team
  • Participate
    • Contribute to Pl@ntNet
      • Create an account
      • Submit a plant
      • Collaborative review
      • Work in group
    • Donate
    • Translate
    • Micro-projects
    • Sponsors
    • Jobs
  • RESOURCES
    • Developers
      • API
      • GitHub
    • Data
      • Open Data
      • GBIF
      • Pl@ntNet 300k
      • GeoPlant dataset
    • Other apps
  • Research
    • Publications
    • GBIF Citations
    • LifeCLEF virtual lab
    • Cos4Cloud EU project
    • MAMBO EU project
    • GUARDEN EU project
    • PlantAgroEco
      • summer-school-2024
    • WeedElec Project
    • CACTUS
    • DeepSDM 2025
  • Contact
  • 🇫🇷

Author: Jean-Marc Sadaillan

Communauté / Non classé

GeoPl@ntNet and Pl@ntNet Plots Training Webinar: 130 French-speaking Participants Joined the Event

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 …

Communauté / Community / Consortium / Research

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 …

Research

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 …

Research

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 …

Non classé

Pl@ntNet: A Collaborative Model for More Accurate AI in Plant Species Identification

In a recent article published in the British Ecological Society journal, the Pl@ntNet team, building on the PhD work of Tanguy Lefort, proposes a significant advancement in optimizing artificial intelligence …

Communauté

Join the iPhone testers community of Pl@ntNet: a step-by-step guide.

Are you passionate about botany and want to contribute to improving the Pl@ntNet app on iOS? Become a beta tester by joining our program via TestFlight! Your participation will help …

  • Français
  • English
follow us on
Contact · Terms of use · Legal terms

Copyright © 2023 Pl@ntNet™ The Pl@ntNet trademark is a protected trademark owned by CIRAD, INRAE, INRIA and IRD. Any use, for any purpose, of the trademark Pl@ntNet and the associated logo are strictly prohibited and may be subject to judicial proceedings.
This website uses cookies to improve your experience. We'll assume you're ok with this, but you can opt-out if you wish.Accept Reject Read More
Privacy & Cookies Policy

Privacy Overview

This website uses cookies to improve your experience while you navigate through the website. Out of these, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may affect your browsing experience.
Necessary
Always Enabled
Necessary cookies are absolutely essential for the website to function properly. This category only includes cookies that ensures basic functionalities and security features of the website. These cookies do not store any personal information.
Non-necessary
Any cookies that may not be particularly necessary for the website to function and is used specifically to collect user personal data via analytics, ads, other embedded contents are termed as non-necessary cookies. It is mandatory to procure user consent prior to running these cookies on your website.
SAVE & ACCEPT