Flora Incognita

Flora Incognita identifies plant species from photographic images using machine learning to support botanical research and biodiversity monitoring in Central Europe.

Key Features:

• Automated Plant Identification: Uses machine learning algorithms to identify plant species from images.
• Comprehensive Species Profiles: Provides species profiles including plant characteristics, geographical distribution, and conservation status.
• Data Sharing and Collaboration: Facilitates data sharing and supports citizen science by enabling collaborative data collection and dissemination for research.

Scientific Applications:

• Field Studies: Automates identification to increase the speed and consistency of botanical field surveys.
• Biodiversity Assessment: Supports large-scale biodiversity assessments by aggregating species observations.
• Ecological Monitoring and Research: Enables ecological monitoring and expands observational datasets through citizen science contributions.

Methodology:

Employs machine learning algorithms trained on collected plant images, with models updated as additional data are collected and analyzed.