Flora Incognita

Interactive plant species indentification with mobile devices

Aim/Objectives

In order to make change/loss of biodiversity visible, species knowledge is key - not only among experts, but for anyone. The research group "Flora Incognita" developed a mobile app that leverages modern computer vision techniques such as deep neural networks with a "connected data" approach, using site information (e.g. climate, geology, phenology) and plant morphological traits for semi-automatic species identification. The collected data are used to answer questions of plant species monitoring and phenology. The app is available for iOS and in the Google Play Store.

Find more information on the Flora Incognita organization, latest news and how to join Flora Incognita activities on the project website . You can also follow us on Twitter or Facebook

Duration: 08/2014 - 07/2024

Collaboration: TU Ilmenau (Data-intensive Systems and Visualization Group)

Funding: Federal Agency for Nature Conservation (BfN), Federal Ministry for the Environment, Nature Conservation and Nuclear Safety (BMU), Thuringian Ministry for the Environment, Energy and Nature Conservation (TMUEN), Federal Ministry of Education and Research (BMBF), Stiftung Naturschutz Thüringen