Overview of The Work Plan

WP 1: Aggregation and Integration of EU Databases for HOLOSEU Advancement

Objectives:

• Establish a comprehensive knowledge base to identify gaps and guide subsequent project activities.
• Prepare technical groundwork for a GIS data cube using fused, rescaled, and gap-filled EU datasets.
• Collect, integrate, and organize multi-source open data into a unified agricultural database.
• Validate and calibrate data using ground reference information for reliable agricultural applications.

Tasks:

• Task 1.1 (M1–8): Literature review and data collection. Lead: P6/YOBU. This includes evaluating inputs, farming activities, GHG emissions, and SOC stock changes. Stakeholder engagement through interviews and workshops.
• Task 1.2 (M6–24): Combine ground data with Copernicus data. Lead: P7/USAMV. Integrate satellite datasets with local measurements using fusion, gap-filling, and ML.
• Task 1.3 (M16–28): Develop an open agricultural data repository. Lead: P2/AVOIN. Ensure FAIR compliance, integrate validated datasets, and support WP4, WP5.

Deliverables:

• D1.1: Comprehensive open agricultural dataset (M8) – P7
• D1.2: FAIR data repository and integration report (M24) – P2
• D1.3: Data validation and calibration report (M28) – P7

Milestones:

• M1.1: Initial data collection completed (M5) – P6
• M1.2: Open dataset prototype established (M12) – P7
• M1.3: Dataset prototype reviewed (M20) – P7

Risks & Mitigation:

• Data unavailability: Conduct pilot research, expand data partnerships.
• Stakeholder misalignment: Regular workshops and feedback loops.
• Data collection delays: Secure agreements with multiple providers.

WP 2: Integration of Farmers’ Feedback and Advanced HOLOSEU Analytics

Objectives:

• Create a platform that auto-transfers inputs to simulations and climate projections.
• Implement decision-making tools using integrated datasets and forecast models.
• Ensure real-world usability by incorporating farmer feedback and practical needs.

Tasks:

• Task 2.1 (M1–4): Revise data protocols and extraction methodologies. Lead: P1/UCD. Refine programming and statistical tools for data integration.
• Task 2.2 (M3–12): Mapping and integration of regional databases into HOLOSEU. Lead: P5/DDTG. Create detailed land, soil, and climate maps.
• Task 2.3 (M24–32): Develop projections of climate change and extreme weather. Lead: P3/UT. Use EDO, EFAS data and AI tools for scenario modelling.

Deliverables:

• D2.1: Protocol for data analytics (M4) – P1
• D2.2: Integrated database maps (M13) – P5
• D2.3: Climate change projection framework (M35) – P3

Milestones:

• M2.1: Protocol developed (M3) – P1
• M2.2: Maps and datasets completed (M12) – P5
• M2.3: Framework developed and tested (M32) – P1

Risks & Mitigation:

• Time constraints: Seek external support.
• Database gaps: Refine framework upon data availability.

WP 3: Develop User Interface and Explore AI for Decision-Making

Objectives:

• Design multilingual, user-friendly UI for diverse devices.
• Implement AI, ML, and APIs to support decision automation and reporting.

Tasks:

• Task 3.1 (M1–24): Design multilingual UI. Lead: P2/AVOIN. Gather feedback, evaluate UI platforms (Telerik, Avalonia), and enable data sharing.
• Task 3.2 (M12–36): Develop component-based open-source simulation model. Lead: P1/UCD. Integrate APIs, redesign backend/frontend, and support automated decision tools.

Deliverables:

• D3.1: HOLOSEU MUI design for development (M24) – P2
• D3.2: Open-source simulation model launched (M36) – P1

Milestones:

• M3.1: UI design completed (M18) – P1
• M3.2: Subcomponents optimized and calibrated (M24) – P1

Risks & Mitigation:

• Low engagement: Focus on usability, solicit continuous feedback.
• Technical limitations: Involve IT experts, use scalable frameworks

WP 4: HOLOSEU Platform Design and Development

Objectives:

• Redesign and scale HOLOSIE architecture to European contexts.

• Build and integrate the HOLOSEU software framework with regional specificity.

• Release HOLOSEU V3.0 as a functional digital platform.

Tasks:

• Task 4.1 (M1–15): Redesign architecture of HOLOSIE into HOLOSEU. Lead: P1/UCD. Recode, restructure, and integrate regional data and component models.

• Task 4.2 (M16–24): Integrate subcomponents, algorithms, and EFs. Lead: P1/UCD. Implement advanced models using country-specific data, with APIs, maps, and MUI.

• Task 4.3 (M10–36): Test, calibrate, and maintain the platform. Lead: P1/UCD. Use Agile methods, release three versions, and focus final sprint on refinement.

Deliverables:

• D4.1: HOLOSEU prototype (v1.0) and database (M16) – P1

• D4.2: Launch HOLOSEU v1.0 (M24) – P1

• D4.3: Release HOLOSEU v3.0 (M35) – P1

Milestones:

• M4.1: HOLOSIE upgraded to HOLOSEU (M15) – P1

• M4.2: Input and activity data integration completed (M23) – P1

• M4.3: Test run and calibration complete (M34) – P1

Risks & Mitigation:

• Skilled manpower shortage: Advertise widely, hire early, invest in training.

• Recruitment delays: Use flexible hiring and partner support.

• Technical/funding challenges: Seek national/EU funds, adopt new technologies.

WP 5: On-Farm Research for Testing and Calibration of HOLOSEU

Objectives:

• Establish long-term experiments reflecting European farm systems.

• Collect in situ data to calibrate and validate the HOLOSEU model.

• Simulate scenarios and refine decision support at farm level.

Tasks:

• Task 5.1 (M1–36): Set up long-term experiments. Lead: P4/IPAN. Collect GHGs, soil, and production data across diverse EU sites.

• Task 5.2 (M18–36): Build response functions and decision algorithms. Lead: P1/UCD, P4/IPAN. Use experimental data to personalize HOLOSEU recommendations.

• Task 5.3 (M18–36): Test and calibrate model with field data. Lead: P4/IPAN. Evaluate scenarios, validate accuracy, and refine platform.

Deliverables:

• D5.1: Experimental protocol (M4) – P4

• D5.2: Algorithm/EF list (M36) – P1

• D5.3: Progress report and two articles (M26, M35) – P4

Milestones:

• M5.1: Protocol ready, experiments launched (M5) – P4

• M5.2: 2-year data collection complete (M28) – P4

• M5.3: Model tested and calibrated with year 1 data (M18) – P4

Risks & Mitigation:

• Data variability: Standardize collection, train field teams.

• Limited data: Use defaults where needed, model flexibility.

WP 6: Development of HOLOSEU Subcomponent Modules

Objectives:

• Develop subcomponent modules for agrobiodiversity and circular bioeconomy.

• Create indices for assessing environmental impacts and ecosystem services.

• Deliver actionable recommendations through model integration.

Tasks:

• Task 6.1 (M1–36): Develop agrobiodiversity module and sustainability indices. Lead: P8/UNIA. Use vegetation, soil, and invertebrate data; integrate LCA and land use indicators.

• Task 6.2 (M1–36): Expand economic module to include circularity and carbon credits. Lead: P7/USAMV. Develop indicators, apply LCA, validate with stakeholders.

Deliverables:

• D6.1: Biodiversity indicator list (M14), module prototype (M28), article (M32) – P8

• D6.2: Bioeconomy indicator list (M14), circular module prototype (M28), article (M32) – P7

Milestones:

• M6.1: Biodiversity indicators complete (M12), prototype and article (M26–28) – P8

• M6.2: Bioeconomy indicators complete (M12), prototype and article (M26–28) – P7

Risks & Mitigation:

• Simulation/scalability issues: Refine using feedback and test data.

• Carbon credit complexity: Adjust and validate methodologies for energy-sector relevance.

WP 7: Project Management, Dissemination and Communications

Objectives:

• Ensure timely delivery and coordination across WPs.

• Maximise research impact through communication and stakeholder engagement.

• Promote HOLOSEU platform uptake and policy influence.

Tasks:

• Task 7.1 (M1–36): Manage project operations. Lead: P1/UCD. Coordinate through steering committee, regular meetings, and partner updates.

• Task 7.2 (M1–36): Disseminate findings and results. Lead: P5/DDTG. Target stakeholders, use multilingual content, support training and policy relevance.

• Task 7.3 (M1–36): Run strategic communications. Lead: P9/FHG. Use web, media, workshops; maintain visibility with metrics and IPCC/UNFCCC alignment.

Deliverables:

• D7.1: Steering Committee and management plan (M3) – P1

• D7.2: Communication strategy and reports (M3, M14, M25, M36) – P9

• D7.3: Website and social media launch (M3), workshop reports (M19, M35) – P9

Milestones:

• M7.1: Steering Committee formed (M2), plan revised (M2) – P1

• M7.2: Communication plan, project reports and articles scheduled (M2–35) – P5, P9

• M7.3: Website and workshops completed (M2–34) – P1, P9

Risks & Mitigation:

• Expert engagement: Leverage partners’ networks.

• Delayed deliverables: Assign communications leads per task.

• Low stakeholder response: Use mixed media channels and follow-up.