IoF2020 project overview for S3 platform Big Data and Traceability
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Presentation at a technical meeting of the S3 AgriFood platform on Big Data and Traceability hosted by the regional government of Andalusia. Special attention was paid to those use cases that are dealing with this theme.
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IoF2020 project overview for S3 platform Big Data and Traceability
- 1. PROJECT OVERVIEW With special attention to Big data and Traceability SJAAK WOLFERT, SCIENTIFIC PROJECT COORDINATOR Technical meeting of the thematic partnership on “Traceability and Big Data” Smart specialization platform S3P Agrifood, Sevilla, Spain, March 28 & 29, 2017
- 2. Advancements in Farming JANUARY 1 2017 smart sensing & monitoring smart analysis & planning smart control BIG DATA exchange
- 3. Involving entire supply chain and beyond Smart Farming Smart Logistics tracking/& tracing Domotics Health Fitness/Well-being
- 4. PROJECT OBJECTIVES IoF2020 fosters a large-scale uptake of IoT in the European farming and food sector. In brief, it aims to: • 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. 4
- 5. IOF2020 IN BRIEF 5 71 partners organisations 16 countries 4 years Start = January 2017 €35 million budget (€30 million EU co- funding)
- 6. beyond the project open callIoF2020 will pave the way for: • Data-driven Farming; • Autonomous Farm Operations; • Virtual Food Chains; • Personalized Nutrition for European citizens. AMBITION & VISION LARGE-SCALE EXPANSION
- 7. Trials & use cases 7 Meat Arable Vegetables Fruits Dairy
- 8. INTERNET OF FRUIT • Fresh table grapes chain: real-time monitoring and control of water supply and crop protection of table grapes and predicting shelf life • Big wine optimization: optimizing cultivation and processing of wine by sensor-actuator networks and big data analysis within a cloud framework • Automated olive chain: automated field control, product segmentation, processing and commercialisation of olives and olive oil • Intelligent fruit logistics: fresh fruit logistics through virtualization of fruit products by intelligent trays within a low- power long-range network infrastructure JANUARY 1 2017
- 9. INTERNET OF VEGETABLES • Chain-integrated greenhouse production: integrating the value chain and quality innovation by developing a full sensor-actuator based system in tomato greenhouses • Added value weeding data: boosting the value chain by harvesting weeding data of organic vegetables obtained by advanced visioning systems • Enhanced quality certification system: enhanced trust and simplification of quality certification systems by use of sensors, RFID tags and intelligent chain analyses JANUARY 1 2017
- 10. INTERNET OF MEAT • Pig farm management: optimise pig production management by interoperable on-farm sensors and slaughter house data • Poultry chain management: Optimize production, transport and processing of poultry meat by automated ambient monitoring & control and data analyses • Meat Transparency and Traceability: enhancing transparency and traceability of meat based on an monitored chain event data in an EPCIS- infrastructure JANUARY 1 2017
- 11. 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
- 12. STAY-TUNED VIA • Website: www.iof2020.eu • Twitter: https://twitter.com/IoF2020 • Newsletter subscription & contact: communications@iof2020.eu
- 13. IoF2020 is funded by the Horizon 2020 Framework Programme of the European Union. Grant Agreement no. 731884. Visit iof2020.eu for more information about the project. CONTACT INFORMATION Sjaak Wolfert sjaak.wolfert@wur.nl +31 317 485 939 THANK YOU FOR YOUR ATTENTION!
Notas do Editor
- This slide provides an overview of the project aim and objectives.
- 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)
- 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).
- 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.
- 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.