• Advance the current solutions in pest monitoring and surveillance by systematically experimenting in emerging digital technologies and proposing disruptive methodologies and tools.
• Develop novel plant pest monitoring strategies encompassing and fusing the latest trends and developments in AI, IoT, remote and proximal sensing.
• Test and validate the performance of plant pest monitoring and recommendation solutions through real life UCPs in commercial farming systems and large, difficult to reach areas (forests).
• Strengthen the capacities of stakeholders in adopting digital technologies for early detection, monitoring, and plant pest prevention and building synergies with established pest response systems, farmer cooperatives, CAP networks, organizations, citizen groups, and other projects to enhance knowledge exchange.
• Develop policy recommendations to support EU and Associated Countries' plant health policies and maximize the use of digital technologies for plant health.
   

• Development of Advanced Technologies: Incorporating Artificial Intelligence (AI), Internet of Things (IoT), remote and proximal sensors, smart traps, and autonomous systems for pest detection and management.
• Design of the Pest Surveillance System (PSS): Creating a holistic system that integrates data from satellites, drones, ground sensors, and crowdsourcing tools for real-time pest monitoring and decision-making.

2. Pilot Implementation

• Use Case Pilots (UCPs): Testing STELLA's technologies and methodologies in six geographically diverse regions, including Europe and New Zealand. These pilots focus on various crops, environmental conditions, and pest challenges to validate the project’s approaches.

3. Stakeholder Engagement

• Policy Collaboration: Working with policymakers, farmers, and advisors to co-develop evidence-based recommendations aligned with EU regulations (e.g., Regulation (EU) 2016/2031).
• Outreach and Consultation: Engaging end-users through workshops, focus groups, and advisory boards to ensure solutions are practical and widely adopted.

4. Capacity Building

• Workshops and E-learning: Organizing training sessions and creating online platforms to transfer knowledge to key stakeholders such as farmers, researchers, and policymakers.
• Publications and Dissemination: Sharing findings and methodologies through scientific journals, conferences, and public reports.

5. Data Management and Analysis

• Integration of Diverse Data Sources: Leveraging diverse inputs (satellite imagery, IoT devices, crowd-sourced data) to refine pest monitoring and prediction.
• Data Governance and Privacy: Ensuring compliance with the EU’s Data Governance Act and ethical data usage practices.

6. Sustainability and Impact Assessment

• Alignment with EU Goals: Supporting the EU’s objectives of sustainable agriculture, biodiversity conservation, and climate resilience.
• Environmental and Economic Evaluation: Assessing the environmental benefits and cost-effectiveness of STELLA’s solutions to ensure long-term feasibility and scalability.

7. Cross-Project Collaboration

• Synergies with Related Initiatives: Building partnerships with projects like Quantifarm to enhance innovation and adoption.
• Knowledge Exchange: Facilitating cross-border learning to adapt solutions to varying regional needs.

8. Communication and Dissemination

• Targeted Communication Strategies: Developing tailored messaging for different stakeholders, including policymakers, farmers, and the public.
• Cultural Relevance: Creating region-specific materials, such as content in Te Reo Māori for the New Zealand pilot.

9. Monitoring and Evaluation

• Progress Tracking: Regular monitoring of milestones and deliverables to ensure adherence to timelines.
• Feedback Integration: Continuously improving the project based on insights from pilots and stakeholder input.