Evidence-backed dossier
Planning & PoCphotomicAI
Automatische Erkennung von Phyto- und Zooplankton aus Mikroskop Aufnahmen und anschließender taxonomischer Einordnung
- Authority
- Landesamt für Umwelt, Naturschutz und Geologie, Mecklenburg-Vorpommern
- Administrative level
- StateMecklenburg-Vorpommern
- Ministry
- Ministerium für Klimaschutz, Landwirtschaft, ländliche Räume und Umwelt des Landes Mecklenburg-Vorpommern
- Risk classification
- Minimal riskSelf-reported in the MaKI profile, not an i6eal assessment
- AI method
- Computer Vision · Deep Learning
- Application area
- Energie und Umwelt
Governance matrix
Published, planned or open
The matrix separates published information, planned reviews, non-required information and unknown fields. It deliberately has no composite score.
Timeline
Project and publication dates
These dates come from the current MaKI profile. They are not i6eal observation history.
- Project start
- First published
- Last published
Observation history
This profile has been observed since 10 Sept 2026. Source-reported project and publication dates remain separate.
First observed
Newly observed in the source stock - Observation state
- Not observed→present