Multi-image species identification with confidence scoring

The tool accepts multiple photographs of the same plant — leaf, flower, stem, and fruit — to build a more complete identification profile. Each image is analysed independently and combined for a final species prediction with a confidence percentage. This multi-angle approach reduces misidentification compared to single-image tools.

Business outcome: Higher identification accuracy in field conditions where single images may be ambiguous.

Curated European flora database with expert validation

Unlike generic image recognition models, Flora Incognita's species database is built and maintained by botanical experts. Each species entry includes verified reference images, taxonomic hierarchy, and ecological metadata. The database covers over 10,000 European plant species with regular updates.

Business outcome: Reliable identification data suitable for scientific reporting and regulatory submissions.

Observation history and species mapping for field research

Users can log identified species with GPS coordinates, date stamps, and photographs to build a personal observation history. The tool generates species lists and distribution maps from collected data, enabling longitudinal analysis of plant populations across locations and seasons.

Business outcome: Structured field data ready for export to GIS systems or biodiversity databases.

Integrated species information and botanical learning resources

Each identification result links to detailed species profiles including description, habitat, flowering period, and ecological significance. The tool also provides botanical terminology explanations and identification tips, supporting self-directed learning for non-experts.

Business outcome: Reduced training time for field staff and enhanced educational value for public engagement programs.

Offline identification mode for remote fieldwork

The core identification model can be downloaded and used without internet connectivity. Field observations are stored locally and sync when connectivity returns. This is critical for research in remote areas where mobile data is unavailable or unreliable.

Business outcome: Uninterrupted field data collection in areas with limited network infrastructure.

Programmatic access for research and enterprise integration

Flora Incognita offers an API that allows organisations to integrate plant identification into custom workflows, mobile apps, or data pipelines. The API returns species predictions, confidence scores, and metadata in structured JSON format suitable for automated processing.

Business outcome: Scalable species identification integrated into existing research platforms or environmental monitoring systems.

• Scientifically validated databaseSpecies data is curated by botanical experts rather than crowd-sourced, ensuring higher reliability for research use.
• Multi-image identificationAnalysing multiple plant parts simultaneously delivers more accurate results than single-image tools.
• Full offline capabilityComplete identification model works without internet, making it practical for remote field research.
• Free pricing modelNo subscription fees or usage limits make it accessible for educational institutions and non-profit research.

• European species onlyDatabase coverage is limited to European flora, making the tool unsuitable for tropical or non-European regions.
• No commercial support tierEnterprise users needing guaranteed uptime or priority support have no paid support option available.
• Limited non-plant identificationThe tool cannot identify fungi, lichens, or animal species — it is strictly for vascular plants.
• Professional RealityWhile the identification accuracy is high for common European species, rare or morphologically similar plants may still require expert verification, especially in early growth stages without flowers.

Environmental impact assessments

Consultancies conducting flora surveys for construction or land-use projects can use Flora Incognita to rapidly catalogue plant species across survey sites. The observation history and GPS tagging support regulatory reporting requirements.

University botany field courses

Lecturers can deploy the tool during field trips to help students identify plants in real-time. The integrated species information replaces bulky field guides and accelerates learning. This pairs well with AI Teacha for broader educational AI integration.

Citizen science biodiversity projects

Conservation organisations can engage volunteers in species monitoring using the app. Consistent identification across many observers produces reliable data for population trend analysis.

Agricultural weed monitoring

Farmers and agronomists can identify weed species in crops to inform targeted management decisions. The observation history helps track weed population changes across seasons.

Download the Flora Incognita app from your device's app store or access the web version directly from the website.

Take clear photographs of the plant you want to identify — capture leaves, flowers, stem, and fruit if available.

Upload the images through the app interface and review the species prediction with confidence score.

Save the observation with GPS location and notes to build your field survey database over time.