AgData — EU Partnership on Agriculture of Data

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UC 96 — AgroEco-HPM

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Key Information
Title
A high-performance data-driven agroecosystem modelling platform for developing agricultural systems with minimum environmental impact
Acronym
AgroEco-HPM
Coordinator
Københavns Universitet / University of Copenhagen (Denmark)University
Duration
24 months
Budget
Not shown at your access level. Hidden
Maturity
Committed
Source
In Proposal
Sectors
Arable crop
Data Types
Machine sensor dataEarth observation dataFarm Management Information Systems (FMIS) data
SRIA Activities

3.1.2 Data integration and data quality

  • 3.1.2.1 Data acquisition & re-use framework
  • 3.1.2.7 Multi-layer geospatial data tool with API
  • 3.1.2.9 Granularity through smart systems & edge compute
  • 3.1.2.11 Models to increase data granularity
  • 3.1.2.13 Procedures to aggregate sensitive data

3.1.4 Applications of AI techniques

  • 3.1.4.1 Identify key reference/training data sets
  • 3.1.4.3 Privacy law solutions for satellite imagery
  • 3.1.4.5 Data governance for farming data ownership
  • 3.1.4.6 Digital twins of farms & environments

3.2.1 Enhancing functionality of and generating input for DSS including FMIS

Themes
Climate & environment
Partners (1)
  • Københavns Universitet / University of CopenhagenP1
    Coordinator

    DenmarkUniversity

#OrganisationCountryType
P1Københavns Universitet / University of CopenhagenCoordinatorDenmarkUniversity
Test and experimental facilities (TEF research) data
Models & Macro data
Statistics Registers data
Public administration data
  • 3.2.1.1 Data layers & algorithms for FMIS services
  • 3.2.1.4 Take stock of existing FMIS & their uptake

3.2.2 Farm modelling systems

  • 3.2.2.1 Take stock of existing modelling approaches
  • 3.2.2.3 Whole-farm & landscape environmental impact

3.2.3 Assessment of farm performance

  • 3.2.3.1 Thematic areas for farm metrics
  • 3.2.3.2 Ambitious farm performance targets

3.2.4 Data-based solutions for addressing environmental challenges

  • 3.2.4.1 Assess needs for environmental decision support
  • 3.2.4.2 Prescription maps for precision cropping

3.2.5 Strategies and technologies for climate change adaptation

  • 3.2.5.1 Resilient livestock & cropping systems
  • 3.2.5.2 Lessons from other biogeographic regions

4.1 Public-private synergies (R&I activities)

  • 4.1.1.1 Establish governance structures
  • 4.1.1.2 Map data needs in public & private domains

4.2 Data governance, standards and security (R&I activities)

  • 4.2.4.1 Stock-take existing data ecosystems
  • 4.2.4.3 Harmonised access to public-sector data for research

4.3 Uptake & innovation management (R&I activities)

  • 4.3.1.3 User-friendly data platforms