Programme
Programme
Wednesday, july 10
9:00 - 9:30 Introduction
9:30 - 13:00 session 1 - ready to use tools
Pl@ntNet: how does the platform work and how can you use it for your own use case or applications ?
by Alexis Joly (Inria, Pl@ntNet), Mathias Chouet (CIRAD, Pl@ntNet) - 1 h 15
Generative AIs for agro-ecology: what they can and can't do
by Vincent Guigue (AgroParisTech) - 1 h 00
Machine inference & correction: assessment of deep learning models during their testing phase
by David Rousseau (Université Angers) - 45 min
14:30 - 18:00 session 2 - do it yourself
Vision transformers: learn how to tame and train them safely
by Hervé Goëau (CIRAD, Pl@ntNet) - 1 h 30
Large Language Models: from theory to practice
by Vincent Guigue (AgroParisTech) - 1 h 30
🍷🫛 19:30 - Buffet dinner in Montpellier city center 🍷🫛
Restaurant "Le petit jardin" (20 Rue Jean Jacques Rousseau)
Thursday, july 11
9:30 - 12:30 session 3 - latest research advances
AI and remote sensing for species distribution modelling
by Benjamin Kellenberger (Yale university) - 35 min
Integrating data and knowledge to support the selection of service plant species in agroecology
by Marie-Laure Mugnier (University of Montpellier, LIRMM) - 35 min
Reinforcement learning and application to sustainable gardening - 35 min
by Odalric Ambrym-Maillard (Inria SCOOL)
Plant traits inference using LLM - 35 min
by Diego Marcos (Inria Evergreen)
14:30 - 18:00 session 4 - in the field
Outdoor presentation of Pl@ntAgroEco citizen science projects
by Pierre Bonnet (CIRAD)
BioBlitz: enrich your knowledge by taking part in an inventory of crop biodiversity with the help of botanists and Pl@ntNet AI
by Pierre Bonnet (CIRAD), Vanessa Hequet (IRD), etc.