In March 2026, HelEx pollinator detection models were presented at the kick-off meeting of the IPIDEO project. IPIDEO is a sister initiative focused on pollinator-related issues in agricultural landscapes, and its launch is an opportunity for HelEx to share tools and methods that could be reused beyond the project.
Nicolas Langlade (INRAE) introduced HelEx Work Package 1.2 and its machine-learning models for detecting and classifying pollinators from images. The goal was to help IPIDEO build on existing work rather than start from scratch, and to explore possible complementarities between the two projects.
For HelEx, this type of clustering activity is a concrete contribution to the European research ecosystem: it turns the project’s outputs into shared assets and increases their chance of long-term impact in biodiversity monitoring.
