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 E-Mail Leipzig/Jena/Ilmenau. Mobile apps like Flora Incognita that allow automated identification of wild plants cannot only identify plant species, but also uncover large scale ecological patterns. These patterns are surprisingly similar to the ones derived from long-term inventory data of the German flora, even though they have been acquired over much shorter time periods and are influenced by user behaviour. This opens up new perspectives for rapid detection of biodiversity changes. These are the key results of a study led by a team of researchers from Central Germany, which has recently been published in Ecography. With the help of Artificial Intelligence, plant species today can be classified with high accuracy. Smartphone applications leverage this technology to enable users to easily identify plant species in the field, giving laypersons access to biodiversity at their fingertips. Against the backdrop of climate change, habitat loss and land-use change, these application

Germany generalSchleswig holsteinNorth seaOceans generalMiguel mahechaJena ilmenauRemote sensing centre for earth system researchHelmholtz centre for environmental researchMax planck institute for biogeochemistryEarth of leipzig universityTechnical university ilmenauGerman federal agency for nature conservation bfGerman centre for integrative biodiversity researchFlora incognitaCentral germanyArtificial intelligence