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Flora Capture: a citizen science application for collecting structured plant observations
David Boho1, Michael Rzanny2, Jana Wäldchen3
1Institute for Computer and Systems Engineering, Technische Universität Ilmenau, Helmholtzplatz 5, 98693, Ilmenau, Germany.
BMC Bioinformatics
|December 15, 2020
Summary
Flora Capture is a mobile app enabling users to collect digital plant images for research and education. This citizen science tool aids in training plant identification algorithms and documenting plant occurrences globally.
Area of Science:
- Botany
- Digital Botany
- Citizen Science
Background:
- Digital plant images are crucial for AI-driven plant identification.
- Structured image data enhances understanding of plant morphology.
- Digital plant collections are gaining traction in educational settings.
Purpose of the Study:
- To develop a user-friendly mobile application for collecting structured digital plant observations.
- To create a valuable dataset for botanical research, education, and AI model training.
Main Methods:
- Development of the Flora Capture mobile application for standardized image collection.
- Transfer of images and metadata to a central server for expert validation.
- Inclusion of geolocation data for plant occurrence records.
Main Results:
- Flora Capture covers over 4800 plant species in Central Europe.
- Thousands of users have contributed over 200,000 images since 2016.
- The app facilitates the collection of validated digital herbarium specimens.
Conclusions:
- Flora Capture empowers experts, laymen, and citizen scientists to build a digital herbarium.
- The collected data supports plant identification algorithm training and educational initiatives.
- Observations contribute to verifiable records of plant occurrences worldwide.
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