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Bridging the skills gap IoT Tech Expo Berlin 1 Jun 2017
The document discusses the role of industrial and academic partnerships, particularly focusing on Wageningen University & Research, in addressing global challenges through IoT innovations in the agrifood sector. It outlines the objectives and structure of the iof2020 initiative, which aims to implement IoT solutions for data-driven farming and food production, marked by significant funding and partnerships. Additionally, the document emphasizes the importance of user-centered approaches and sustainable business models for the success of IoT technologies in agriculture.
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Bridging the skills gap IoT Tech Expo Berlin 1 Jun 2017
- 1. Bridging the skillsgap How industrial/academic partnerships can benefit Sjaak Wolfert, IoT Tech Expo, 1 Jun. 2017, Berlin
- 2. Wageningen University &Research: Two Partners Wageningen University & Wageningen Research
- 3. Wageningen University &Research Academic research & education, and applied research 5,800 employees (5,100 fte) >10,000 students (>125 countries) > 30 locations in NL, China, Chile, Ethiopia & Saudi Arabia Turnover about € 650 million Number 1 Agricultural University for the 4th year in a row (National Taiwan Ranking) To explore the potential of nature to improve the quality of life
- 4. Global Challenges Health andnutrition Food security Biobased Economy Biodiversity Climate change Agri-Food system
- 5. Track record ofEU-PPPs on ICT 2011-2013: SmartAgriFood - a FIWARE-based conceptual architecture and prototype applications (5 M€) 2013-2015: FIspace – B2B business collaboration platform for agri-food & logistics (+ apps) (13.5 M€) 2014-2016: Accelerators: SmartAgriFood2, FInish, FRACTALS (~17 M€) - 125 apps/start-ups based on FIWARE/FIspace Sep. 2016: FIWARE Foundation established with 3 verticals: Smart Cities, Industry and Agri-Food 2017-2020: IoF2020 – The Internet of Food and Farm (30 M€) - IoT large-scale pilot for smart farming and food security
- 6. A PUBLIC PRIVATE PARTNERSHIPIN IOT & AGRI-FOOD SJAAK WOLFERT, SCIENTIFIC PROJECT COORDINATOR
- 7. Advancements in Farming JANUARY1 2017 BIG DATA CONTROL SENSING & MONITORING ANALYSIS & PLANNING SMART SMART SMART
- 8. Involving entire supplychain and beyond Smart Farming Smart Logistics tracking & tracing Domotics Health Fitness/Well-being
- 9. OBJECTIVE IoF2020 fosters alarge-scale uptake of IoT in the European farming and food sector • Demonstrate the business case of IoT for a large number of application areas in farming and food sector; • Integrate and reuse available IoT technologies by exploiting open infrastructures and standards; • Ensure user acceptability of IoT solutions in farming and food sector by addressing user needs, including security, privacy and trust issues; • Ensure the sustainability of IoT solutions beyond the project by validating the related business models and setting up an IoT ecosystem for large scale uptake. 9
- 10. IOF2020 IN BRIEF 10 16 COUNTRIES 4YEARS Start = January 2017 €35 MILLION BUDGET (€30 million co-funded under EU H2020 programme) 71 PARTNERS ORGANISATIONS
- 11. BEYOND THE PROJECT OPEN CALL IoF2020will pave the way for: • Data-driven Farming • Autonomous Farm Operations • Virtual Food Chains • Personalized Nutrition for European citizens AMBITION & VISION LARGE-SCALE EXPANSION
- 12. 5 TRIALS, 19USE CASES 12 MEAT ARABLE VEGETABLES FRUITS DAIRY
- 13. Optimizing cultivation andprocessing of wine by sensor-actuator networks and big data analysis within a cloud framework BIG WINE OPTIMIZATION
- 14. OBJECTIVE Deploy an IoTsystem • based on 150 actuator/sensor nodes • to monitor and gather the data coming from 5 vineyards and cellars • to perform data analysis and decision making • to improve the vine yield and wine production
- 15. IOT SYSTEM ARCHITECTURE • Fixedand mobile sensors to monitor weather, vineyard and wine conditions • Middleware to collect and analyse sensor data and actuate • Applications to facilitate the decision making to monitor and control the vineyards and wine anytime and anywhere.
- 16.
- 17. Optimize pig productionmanagement via on-farm sensors and slaughter house data PIG FARM MANAGEMENT
- 18. Objective Provide the pigfarmers with crucial information to effectively steer their management to reduce boar taint, health problems, increase productivity
- 19. Data acquisition throughoutthe entire supply chain
- 21. IOF2020 ECOSYSTEM &COLLABORATION SPACE WP1ProjectCoordination& Management GENERIC APPROACH & STRUCTURE WP2 Trials/Use cases: Knowledge & App development Lean multi-actor approach 3. EVALUATION 1. CO-DESIGN 2. IMPLEMENTATION P1 P2 LARGE SCALE P3 WP3 IoT Integration WP4 Business Support WP5 Ecosystem Development
- 22. TECHNICAL / ARCHITECTURALAPPROACH Use case architecture Use case IoT system developed Use case IoT system implemented Use case IoT system deployed USE CASE REQUIREMENTS IoT reference architecture instance of IoT catalogue Reusable IoT components reuse IoT Lab Reference configurations & instances reuse Collaboration Space shared services & data ProjectlevelUsecaselevel sustain reuse
- 23. Business support Different business modelswill be tested to identify the most successful and sustaining ones BUSINESS MODELS Buying and selling a product is te best lorem service. MARKET STUDY Develop standard procedures and guidelines to handle sensitive information and to protect IP PRIVACY GUIDELINES Calculate costs savings and effects on revenue development & financing plans for farmers KPI & IMPACT
- 24. TOWARDS TO THEIOF2020 ECOSYSTEM GENERAL PUBLIC AND MEDIA POLICY-MAKERS AND REGULATORS SCIENTIFIC COMMUNITY AGRICULTURAL (INDEPENDENT) ADVISORY SERVICES NGOS & INTEREST ORGANISATIONS IOT TECHNOLOGY PROVIDERS BUSINESS SUPPORT ORGANISATIONS • Accelerators • Incubators • Chambers of commerce • Enterprises networks END-USERS • Farm equipment suppliers • Food processing companies • Retailers • Transporters • Consumers’ associations INVESTORSFARMERS COOPERATIVES CONSORTIUM PARTNERS
- 25. STAY-TUNED VIA • Website:www.iof2020.eu • Twitter: https://twitter.com/IoF2020 • Newsletter subscription & contact: [email protected]
- 26. UPCOMING EU-H2020 CALLS • ICTInnovation for Agriculture – Digital Innovation Hubs for Agriculture (RUR-14- 2018) • Agricultural Digital Cross-Cutting Integration Platforms (RUR-12- 2019)
- 27. Thanks for your attention [email protected] nl.linkedin.com/in/sjaakwolfert/ Twitter:@sjaakwolfert http://www.slideshare.net/SjaakWolfert 27
Editor's Notes
- #10 This slide provides an overview of the project aim and objectives.
- #11 Some key figures about the project: The Consortium comprises 71 partners from 16 countries. The project duration is 4 years (Start in January 2017 and end in December 2020) The total budget is €35 million (of which €30 million co-funded by the EU under the Horizon 2020 Framework Programme for Research and Innovation)
- #12 IoF2020 will organize an open call around mid‐term for being able to involve new users in the use cases, develop additional and specifically more innovative applications, as well as to replicate the use cases through new sites or new connected devices, and complementary assessment of the acceptability of the use cases. IoF2020 will pave the way for: Data-driven Farming: IoF2020 will help farmers to change from ‘management by gut feeling’ towards ‘management by facts’, which is of crucial importance to survive its increasingly demanding business environment. Autonomous Farm Operations: IoF2020 will improve the connectedness and intelligence of farm automation. As such it will enable farm equipment to become autonomous, self‐adaptive systems that can operate, decide and even learn without on‐site or remote intervention by humans. Virtual Food Chains: IoF2020 will enable to virtualize food supply chain management which allows for advanced remote (re)planning, monitoring and control capabilities and for new business models. Personalized Nutrition: personalized nutrition monitoring and advices by using smartphones, that make use of connected sensors, wearables like smart watches, equipment at home (e.g. refrigerators, weighing machines) and outdoor equipment (e.g. in canteens, restaurants, super markets, fitness clubs).
- #13 The core of the project lies within 5 trials. These cover 5 sectors (arable, dairy, fruits, vegetables and meat). To showcase each of the trials, the project is organized around 19 use cases.
- #22 Through these projects we have developed a success formula in approaching the challenge of ICT and Information Management in Agri-Food : Trials and use cases form the core, in which we jointly develop as research and business organisations, knowledge and application through a lean multi-actor approach This means that we quickly develop minimum viable products with involvement of all relevant stakeholders and upscale these through several cycles of development In parallel we create synergy by Technical integration: open architectures, standard that can be used as generic building blocks in the trials and use cases Governance and business modelling: solve issues that arise from the trials and use cases regarding ownership, privacy, trust, etc. and support the businesses in developing sustainable business plans for the apps, services and organization structures that are being developed Ecosystem Development – support the trials and use cases in embedding their solutions in global ecosystems and upgrading them to a large scale Project coordination and management is trivial, but we have shown that Wageningen University and Research is very capable to fulfil this role in large public-private projects This integrated approach will guarantee long-term, sustainable results from these projects.
- #23 IoF2020 believes that it is important for a large scale take‐up to maximize synergies across multiple use case systems. As a consequence, much attention is paid to ensuring the interoperability of multiple use case systems and the reuse of IoT components across them. The figure shows the architectural approach to achieve this during design, development, implementation and deployment. To enable reuse of components, IoF2020 will provide a catalogue of reusable system components, which can be integrated in the IoT systems of multiple use cases of the project. It will include as much as possible existing components from previous and running projects and (open source) initiatives, including FIWARE, FIspace, etc.
- #25 Consortium participants and partner organisations IoF2020 partners, other networks and initiatives with whom relations have already been established. Stakeholders, directly using produced services and/or benefiting from the project outcomes. Farmers Cooperatives End users IoF2020 includes end-users for the entire supply chain, from farm to the plate. IoT technology providers Companies or other entities developing, producing and selling IoT technologies. Agricultural (independent) advisory services Services that make new knowledge available to farmers and assist the farmers to develop their farming and management skills. Business support organisations Entities supporting the establishment of a business entity. Interest organisations / NGOs Interest organisations are the entities representing interests of a particular sector. NGOs are non-profit organizations, operating independently of government. Investors Entities committing capital for a financial return. Scientific community A diverse network of interacting scientists. Policy makers and regulators Individuals responsible for determining and applying policies and legislations. General public & media General public is the general community of people, regardless of their interests and/or occupations. Media are the communication channels through which the IoF2020 key emssages can be disseminated.