i6eal.de
DEEN
Start a project
← Back to the registerPublic-sector AI use

3D-Traubenarchitektur Rebe

Hochdurchsatz-Phänotypisierung inkl. 3D Scanner und Auswertesoftware (Entwicklung Universität Bonn in gemeinsamen DFG Projekt, abgeschlossen), welche in der Züchtungsforschung an Reben zum Einsatz kommt. Das KI-System umfasst eine Auswertesoftware, welche überwachtes Lernen (supervised learning) und Objekterkennung (object recognition) combiniert. Für weitere Informationen: https://doi.org/10.1016/j.compag.2017.02.017 (Software), https://doi.org/10.3390/s18030763 (Anwendung).

Source checked 01 Sept 2026, 09:27Original MaKI source ↗Data schema ki-verwaltungsradar.internal.v1
MaKI identifierBD20242986422AuthorityJulius Kühn-Institut, Bundesforschungsinstitut für KulturpflanzenStatusOperationalOpen original profile ↗
Evidence-backed dossier

3D-Traubenarchitektur Rebe

Hochdurchsatz-Phänotypisierung inkl. 3D Scanner und Auswertesoftware (Entwicklung Universität Bonn in gemeinsamen DFG Projekt, abgeschlossen), welche in der Züchtungsforschung an Reben zum Einsatz kommt. Das KI-System umfasst eine Auswertesoftware, welche überwachtes Lernen (supervised learning) und Objekterkennung (object recognition) combiniert. Für weitere Informationen: https://doi.org/10.1016/j.compag.2017.02.017 (Software), https://doi.org/10.3390/s18030763 (Anwendung).

Operational
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
Machine 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 reviewVorhanden
Data-protection statementNicht erforderlich
Contractor useExtern, Intern
Intervention optionsWurde nicht betrachtet
Project linkNot published
Published context

Affected groups and risk measures

Affected groups
Mitarbeitende der Behörde/ des Ressorts
Risk measures
Durchführung von Untersuchungen und Ursachenanalysen
Described harm risks
Wurde nicht betrachtet
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 identifierBD20242986422
Evidence basispublished authority profile
Source state20 Nov 2024, 15:35
Observed by i6eal

Observation history

This profile has been observed since 19 Jul 2026. Source-reported project and publication dates remain separate.

First observed
Last observed

No earlier complete source state is available for comparison yet. Observation for this profile begins on 19 Jul 2026.

Related tools

Useful next steps

These tools complement the current result.

View all tools
IndexAI Procurement & Supplier IndexWhich AI contracts does the public sector award, who wins, and which technology dependencies are explicitly disclosed? Procurement updates daily from TED and oeffentlichevergabe.de; suppliers use exact source IDs only.Provenance checkPublic-sector AI system passportSee which public records can be linked to each published government AI system through stable identifiers or exact source-declared repository URLs—with a source for every edge and visible evidence boundaries.Data reportGerman state AI evidence monitorCompare three separate public evidence lanes across all 16 German states: exactly assigned AI system profiles, AI-related procurement and physical infrastructure—without a composite score or invented ranking.