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UC 75 — Sense4N

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Key Information
Title
Comprehensive data set on practical sensorbased N fertilization: From ground to sky
Acronym
Sense4N
Coordinator
Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB Potsdam) (Germany)Research Institute
Duration
24 months
Budget
Not shown at your access level. Hidden
Maturity
Committed
Source
In Proposal
Sectors
Arable cropLivestock/animal production
Data Types
Machine sensor dataEarth observation dataFarm Management Information Systems (FMIS) data
SRIA Activities

3.1.2 Data integration and data quality

  • 3.1.2.4 Reference data sets & non-discriminatory data
  • 3.1.2.9 Granularity through smart systems & edge compute
  • 3.1.2.12 Solutions for private/public interests

3.1.4 Applications of AI techniques

  • 3.1.4.1 Identify key reference/training data sets
  • 3.1.4.6 Digital twins of farms & environments
  • 3.1.4.7 Strengthen AI uptake; trust in AI

3.2.1 Enhancing functionality of and generating input for DSS including FMIS

  • 3.2.1.1 Data layers & algorithms for FMIS services
  • 3.2.1.2 Extrapolate farm-generated sensor data
  • New satellite imagery & ground sensors for DSS
Themes
Other / data-quality / infrastructure
Partners (2)
  • Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB Potsdam)P1
    Coordinator

    GermanyResearch Institute

  • Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB Potsdam)P2

    GermanyResearch Institute

#OrganisationCountryType
P1Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB Potsdam)Coordinator
Models & Macro data
Statistics Registers data
3.2.1.3
  • 3.2.1.6 Multi-criteria simulation modules
  • 3.2.2 Farm modelling systems

    • 3.2.2.3 Whole-farm & landscape environmental impact
    • 3.2.2.4 Farm modelling for optimal practice

    3.2.3 Assessment of farm performance

    • 3.2.3.1 Thematic areas for farm metrics

    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
    • 3.2.4.4 Areas for biodiversity & pollinator conservation
    • 3.2.4.5 Continuous soil & water sensor monitoring

    3.2.5 Strategies and technologies for climate change adaptation

    • 3.2.5.1 Resilient livestock & cropping systems

    4.1 Public-private synergies (R&I activities)

    • 4.1.1.5 Develop reusable data-based solutions
    • 4.1.1.6 Scalable B2G data-sharing solutions

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

    • 4.2.4.5 Highlight Common European Agriculture Data Space

    4.3 Uptake & innovation management (R&I activities)

    • 4.3.1.1 Evidence of the value of data technologies
    Germany
    Research Institute
    P2Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB Potsdam)GermanyResearch Institute