Purpose & Scope
This introductory webinar, presented by Rémi Régnier (agrifoodTEF French Node leader), explores the role of drones and digital technologies in transforming the agri-food sector. As drones become essential for monitoring and data collection in vineyards, livestock management, and arable farming, ensuring their performance and security is paramount.
The session provides an overview of the drone testing lifecycle, from initial laboratory simulations to real-world applications on experimental farms. Participants will discover how drones are used for precise data annotation and soil/crop monitoring, and gain an introduction to the critical principles of cybersecurity certification. By combining technical expertise with practical use cases, the training helps innovators assess how these services can meet their specific digital transformation needs.
Learning objectives
- Testing environments: Identify the three pillars of drone validation (simulation, laboratory/cage testing, and experimental farm trials).
- Agricultural use cases: Understand how drones support specific sectors, including viticulture, horticulture, livestock, and forage management.
- Data management: Learn the methodologies for collecting, preparing, and annotating high-quality agricultural data via aerial platforms.
- Cybersecurity: Recognise the importance of cybersecurity certification and the standards required to protect agricultural data and hardware.
Learning outcomes
- Framework overview: Explain the role of agrifoodTEF and the LNE in the European drone innovation ecosystem.
- Validation literacy: Distinguish between different testing stages and choose the appropriate environment for specific drone applications.
- Data proficiency: Describe how drone-captured data is prepared for AI-driven decision-support tools in crops and livestock.
- Security awareness: Understand basic cybersecurity principles applied to autonomous aerial systems to ensure safe and compliant market entry.
Who should attend?
- Drone manufacturers: Companies developing aerial platforms for monitoring, spraying, or scouting.
- Agri-tech developers: Teams working on image processing, AI-driven crop monitoring, and data annotation.
- Cybersecurity experts: Professionals interested in the application of security standards to autonomous vehicles.
- Researchers and R&D units: Innovation hubs and university staff focused on robotics and precision agriculture.
- EDIH Staff: Advisors looking to guide SMEs through the drone validation and certification process.
Other
Robotics
