Flora Incognita is an AI-based plant identification app developed by a German research team, aiming to combine AI plant identification with Citizen Science.
I. Purpose Users can identify plants through the Flora Incognita App, expand their plant knowledge, and participate in scientific research. The app is suitable for plant enthusiasts, students, teachers, and environmental education institutions.
II. Main Capabilities
- Plant identification: Can identify more than 30,000 plant species.
- Plant knowledge: Provides interesting facts such as plant characteristics, conservation status, and distribution.
- Observation records: Users can save their own observation records, providing data for scientific research.
- Offline mode: The app supports offline use, suitable for schools and environmental education institutions.
- Free and ad-free: The app is free and ad-free.
III. How to Use After downloading the Flora Incognita App, users can identify plants by taking photos or uploading images, and view identification results and plant information. Users can also save observation records and participate in citizen science projects.
IV. Applicable Scenarios
- Plant identification and learning
- School environmental education
- Citizen science data collection
- Environmental monitoring and research
V. Limitations The materials do not provide detailed information on identification accuracy, supported platforms (iOS/Android), language support, data privacy policy, etc. Some features may require an internet connection, and the specific available scope of offline mode is not yet provided.
VI. Research Background Flora Incognita is a research project involving Prof. Dr. Patrick Mäder (Technische Universität Ilmenau) and Dr. Jana Wäldchen (Max Planck Institute for Biogeochemistry). The project "Flora Incognita Moni" combines AI plant identification with citizen science, exploring the role of plants as environmental sensors and studying the impact of urbanization on climate and soil. Related research includes methods for extracting phenological information from images and phenological monitoring.
VII. Contact Information Support email: support@floraincognita.com Official website:https://floraincognita.de/
