NaLamKI - Nachhaltige Landwirtschaft mittels Künstlicher Intelligenz: Satellitenbasierte Information zu Wachstumsstadien ausgewählter Feldfrüchte
In NaLamKI wurden Verfahren zum Mmonitoring phänologischer Wachstumsstadien verschiedener Feldfrüchte (z.B. Winterweizen, Winterraps, Mais) aus Satellitendaten des Europäischen Erdbeobachtungsprogramms Copernicus entwickelt.
- 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
- Machine Learning · Statistische Modellierung
- Application area
- Landwirtschaft
Published, planned or open
The matrix separates published information, planned reviews, non-required information and unknown fields. It deliberately has no composite score.
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 19 Jul 2026. Source-reported project and publication dates remain separate.
From the start of observation on 19 Jul 2026 to the last complete source state on 17 Oct 2026, we observed no change to this profile.