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Automatische Erkennung von Phyto- und Zooplankton aus Mikroskop Aufnahmen und anschließender taxonomischer Einordnung

Source checked 10 Sept 2026, 06:36Original MaKI source ↗Data schema ki-verwaltungsradar.internal.v1
MaKI identifierMV20267734358AuthorityLandesamt für Umwelt, Naturschutz und Geologie, Mecklenburg-VorpommernStatusPlanning & PoCOpen original profile ↗
Evidence-backed dossier

photomicAI

Automatische Erkennung von Phyto- und Zooplankton aus Mikroskop Aufnahmen und anschließender taxonomischer Einordnung

Planning & PoC
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.

Risk classificationMinimales Risiko
Fundamental-rights reviewNot published
Data-protection statementNicht erforderlich
Contractor useKeine
Intervention optionsNot published
Project linkNot published
Timeline

Project and publication dates

These dates come from the current MaKI profile. They are not i6eal observation history.

  1. Project start
  2. First published
  3. Last published
MaKI identifierMV20267734358
Evidence basispublished authority profile
Source state09 Sept 2026, 11:44
Observed by i6eal

Observation history

This profile has been observed since 10 Sept 2026. Source-reported project and publication dates remain separate.

First observed