AgData — EU Partnership on Agriculture of Data

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UC 19 — LMM

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Key Information
Title
National Monitoring Network on Nutrient Management (LMM)
Acronym
LMM
Coordinator
Wageningen Research (Netherlands)Research Institute
Duration
24 months
Budget
Not shown at your access level. Hidden
Maturity
Committed
Source
In Proposal
Use Case Summit Pitch
Indicators, Monitoring & Policy Support
Sectors
Arable cropDairy
Data Types
Farm Management Information Systems (FMIS) dataModels & Macro data
SRIA Activities

3.1.2 Data integration and data quality

  • 3.1.2.5 Standardized metadata scheme & ontologies
  • 3.1.2.6 Boost data re-usability through quality control

3.2.4 Data-based solutions for addressing environmental challenges

  • 3.2.4.1 Assess needs for environmental decision support

3.3 Data-based solutions for policy-making

  • 3.3.3 Common-approach indicators across MS
  • 3.3.5 Extend Area Monitoring System (AMS)

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

  • 4.2.4.3 Harmonised access to public-sector data for research

4.3 Uptake & innovation management (R&I activities)

  • 4.3.1.1 Evidence of the value of data technologies
Themes
Soil & nutrients
Partners (2)
  • Wageningen ResearchP1
    Coordinator

    NetherlandsResearch Institute

  • Wageningen ResearchP2

    NetherlandsResearch Institute

#OrganisationCountryType
P1Wageningen ResearchCoordinator

Introduction The National Monitoring Network on Nutrient Management (LMM) is a long-running Dutch monitoring programme that evaluates the effects of agricultural practices on water quality, directly linked to national and EU nutrient policies (including the Nitrates Directive). It monitors a fixed panel of more than 450 agricultural holdings across different soil types and farming systems and operates a data pipeline that combines detailed farm-level information (e.g. nutrient applications, crop and livestock data) with water quality measurements (e.g. nitrate and phosphate concentrations). Methodologies Water quality monitoring Farm accounting (FADN/FSDN) Farm level data collection Sampling and stratification Output Monitoring and reporting system with very detailed (farm level or parcel/crop level) data on farming practises and water quality data. Impact Ability to monitor the impact of manure policies and farming practises on water quality. This data set is used to evaluate and develop more targeted policies to achieve the environmental objectives at the lowest possible costs. What I can offer Capture LMM’s sampling design, QA/QC rules and data structures as a “best practice” for nutrient and water quality monitoring Expertise on farm level monitoring Expertise on data integration of private sector and public dataset Expertise on indicator definition Monitoring expertise What I need Jointly explore how LMM can act as a node/user in future data spaces and how new EO/sensor data could be integrated technically and organisationally Sharing best practises with other use cases Link to other ontologies and initiatives

Source: Annual AgData Use Case Summit 2026 booklet.

  • 4.3.1.5 Capacity building & data literacy
  • 4.3.1.6 Training in advanced digital skills (DEP)
  • Netherlands
    Research Institute
    P2Wageningen ResearchNetherlandsResearch Institute