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GeoProg - High-Resolution Crop Phenology Monitoring

Mit dem Modell wird die Bestimmung von BBCH Stadien (Pflanzenphänologie) durch die Integration von hochauflösenden Erdbeobachtungsdaten (EO) und KI-optimierten Methoden verbessert.

Source checked 18 Jul 2026, 22:41Original MaKI source ↗Data schema ki-verwaltungsradar.internal.v1
MaKI identifierBD20254443639AuthorityJulius Kühn-Institut, Bundesforschungsinstitut für KulturpflanzenStatusDevelopmentOpen original profile ↗
Evidence-backed dossier

GeoProg - High-Resolution Crop Phenology Monitoring

Mit dem Modell wird die Bestimmung von BBCH Stadien (Pflanzenphänologie) durch die Integration von hochauflösenden Erdbeobachtungsdaten (EO) und KI-optimierten Methoden verbessert.

Development
Open original profile ↗
Authority
Julius Kühn-Institut, Bundesforschungsinstitut für Kulturpflanzen
Administrative level
Federal
Ministry
Bundesministerium für Landwirtschaft, Ernährung und Heimat
Risk classification
Minimal riskSelf-reported in the MaKI profile, not an i6eal assessment
AI method
Deep Learning
Application area
Forschung · Landwirtschaft
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 useIntern
Intervention optionsNot published
Project linkNot published
Timeline

Project and publication dates

  1. Project start
  2. First published
  3. Last published
MaKI identifierBD20254443639
Evidence basispublished authority profile
Source state31 Oct 2025, 09:42
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