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Journal Article

Flora Incognita – Halbautomatische Bestimmung der Pflanzenarten Thüringens mit dem Smartphone

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Wäldchen,  Jana
Flora Incognita, Dr. Jana Wäldchen, Department Biogeochemical Integration, Prof. Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society;

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Thuille,  Angelika
Emeritus Group, Prof. E.-D. Schulze, Max Planck Institute for Biogeochemistry, Max Planck Society;

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Rzanny,  Michael
Flora Incognita, Dr. Jana Wäldchen, Department Biogeochemical Integration, Prof. Dr. M. Reichstein, Max Planck Institute for Biogeochemistry, Max Planck Society;

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Schulze,  Ernst Detlef
Emeritus Group, Prof. E.-D. Schulze, Max Planck Institute for Biogeochemistry, Max Planck Society;

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Citation

Wäldchen, J., Thuille, A., Seeland, M., Rzanny, M., Schulze, E. D., Boho, D., et al. (2016). Flora Incognita – Halbautomatische Bestimmung der Pflanzenarten Thüringens mit dem Smartphone. Landschaftspflege und Naturschutz in Thüringen, 53(3), 121-125.


Cite as: https://hdl.handle.net/11858/00-001M-0000-002B-AEA2-A
Abstract
Species knowledge is essential for protecting biodiversity. People are more willing to protect plants and animals that they personally
experienced before. The identification of plants by conventional
keys is very complex, time consuming, and due to the use of specific
terms frustrating for non-experts. This creates a hard to overcome
hurdle for novices interested in acquiring species knowledge.
Modern communication techniques are a continuous companion
in today’s life and provide an opportunity to simplify conventional
identification methods. The goal of our “Flora Incognita” project
is developing a method for semi-automatic plant identification via
mobile devices. The process will lead a user through an interactive
series of identification steps. Part of these steps will utilise image
recognition techniques to identify plant traits. An accompanying
web-based platform will allow ambitious interested users to contribute
in our project.