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UC 103 — AI4WD

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Key Information
Title
Multimodal sensing and AI for sustainable and biodiversity-friendly weed and disease management
Acronym
AI4WD
Coordinator
Aarhus University (Denmark)University
Duration
21 months
Budget
Not shown at your access level. Hidden
Maturity
Committed
Source
In Proposal
Sectors
Arable crop
Data Types
Machine sensor dataFarm Management Information Systems (FMIS) dataTest and experimental facilities (TEF research) data
SRIA Activities

3.1.2 Data integration and data quality

  • 3.1.2.1 Data acquisition & re-use framework
  • 3.1.2.4 Reference data sets & non-discriminatory data

3.1.3 Data marketplaces and cooperatives in agriculture

  • 3.1.3.4 Discoverability & composability of services

3.1.4 Applications of AI techniques

  • 3.1.4.1 Identify key reference/training data sets
  • 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

3.2.2 Farm modelling systems

  • 3.2.2.2 Novel forecasting & prediction methodologies
Themes
AI / ML / Decision SupportPlant protection & pest/disease
Partners (1)
  • Aarhus UniversityP1
    Coordinator

    DenmarkUniversity

#OrganisationCountryType
P1Aarhus UniversityCoordinatorDenmarkUniversity

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

  • 3.2.4.6 Robots/UGV + IoT for pest & weed detection

3.2.5 Strategies and technologies for climate change adaptation

  • 3.2.5.1 Resilient livestock & cropping systems

3.3 Data-based solutions for policy-making

  • 3.3.3 Common-approach indicators across MS

4.1 Public-private synergies (R&I activities)

  • 4.1.1.5 Develop reusable data-based solutions

4.3 Uptake & innovation management (R&I activities)

  • 4.3.1.1 Evidence of the value of data technologies
  • 4.3.1.2 Communicate value to end-users
  • 4.3.1.7 Persuasive technologies for sustainable practices