MAMBO, in collaboration with the GUARDEN project, has contributed to the development of a new policy brief highlighting the role of AI-powered tools in large-scale biodiversity monitoring.

The brief introduces an innovative service integrated into the Pl@ntNet platform, enabling the identification of plant communities directly from field images. By using advanced image recognition models, this approach supports consistent, protocol-based data collection and helps address persistent gaps in current biodiversity monitoring frameworks.

This contribution aligns with the goals of the EU Biodiversity Strategy for 2030 by providing scalable, accessible solutions for plant monitoring that can enhance conservation planning and policy development. The tool is designed to support scientists, policymakers, and citizen scientists alike, fostering more timely and informed biodiversity assessments.

The policy brief also outlines recommendations for broader adoption, including support for citizen science, open data standards, and further development of scalable AI monitoring infrastructure.

Read the full policy brief here.