SmartAgriHubs Objective and method
Download as PPTX, PDF1 like463 views
The document outlines the objectives and methods of the SmartAgriHubs project, which aims to enhance the digital transformation of European agriculture and food production through a network of digital innovation hubs (DIHs). Its specific goals include building a comprehensive network across EU regions, facilitating multi-actor innovation experiments, and ensuring long-term sustainability through financial support and business planning. The approach involves creating layered networks of competence centers and innovation services, fostering collaboration among stakeholders to drive innovation.
SmartAgriHubs Objective and method
- 1. 1 Sjaak Wolfert Scientific Coordinator Kick-off meeting, 6-7 Nov. 2018, The Hague, The Netherlands SmartAgriHubs: objectives and method
- 2. 2 2 Table of contents 1. Background and Context 2. SmartAgriHubs Objectives 3. Key Concepts 4. Project Approach
- 3. 3 Big Data Analytics Internet of Things Blockchain Technology Linked Data Cloud Computing Artificial Intelligence SENSING & MONITORING ANALYSIS & PLANNING SMART SMART SMART PUBLIC DECISION-MAKING food safety food security healthenvironment nutrition climate CONTROL FOOD INTEGRITY The Digital Transformation of Agri-Food
- 4. 4 Overall objective Consolidate and foster EU-wide network of Ag DIHs to enhance digital transformation for sustainable farming and food production
- 5. 5 Specific Objectives • Build network covering all EU regions including technology, business, sector expertise + relevant players • Critical mass of multi-actor Innovation Experiments • Financial support 3rd parties by open calls – various public/private funds • Ensure long-term sustainability incl. business plans + attracting investors 5
- 8. 8 Concepts and coherence • Layered network of Competence Centers and Digital Innovation Hubs organized in Regional Clusters • Multi-Actor Innovation Experiments interacting with DIH’s innovation services • Innovation Services Maturity Model developing the DIHs • Innovation Portal supporting Ecosystem Development 8
- 9. 9 Approach
- 10. 10 SAH Regional Clusters and WP structure
- 11. 11
Editor's Notes
- #4: The management or decision support cycle increasingly becomes a cyber-physical cycle system monitored by advanced sensor networks and controlled by data and computer-based algorithms, tightly integrated with the internet and its users. In this way the cycle increasingly becomes autonomous, with less human intervention. This development can be applied to all parts of the food supply chain, while at the overall level data and high-tech are also driving new ways of traceability. But also public decision-making is increasingly supported by data-driven models and algorithms in order to make decisions on e.g. food safety or environmental control. Consequently, the data and related infrastructure for private and public purposes increasingly becomes intertwined in which the same data is used for multiple purposes, both private and public. However, this raises various issues on data ownership, -access, privacy, ethics etc. and progress will highly depend on creating trust and partnerships. Against this background we can distinguish four sub-themes that can be addressed by projects within these themes.