We’re delighted to host Étienne Laliberté (Université de Montréal; Mila) in Montpellier for exchanges on drone imagery and AI for tropical canopies. #AI4Biodiversity#RemoteSensing#TropicalForests
🌱 How can AI strengthen plant disease surveillance?
The first ESV Methodological Bulletin explores Deep Learning, CNNs, Vision Transformers and hybrid models to identify both crops and diseases from a single image.
🌍 The @GBIF is 25! Since 2001, this global infrastructure has opened access to biodiversity data. In 2026: 3.8B+ records, 120+ countries, 2,700+ institutions and 15,000+ publications !
At #EVS2026, Pl@ntNet PhD student Giulio Martellucci presented research combining computer vision with plant community data to tackle visual ambiguity in complex vegetation.