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2015.10.13 Smart Systems in Agriculture and Food v1


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Keynote presentation opening session of the EPoSS Annual Forum 2015 “State of the (Sm)Art: Smart Systems Responding to Demand Side Requirements”, on behalf of TP Organics, Leuven, 13 October 2015

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2015.10.13 Smart Systems in Agriculture and Food v1

  1. 1. Smart Systems in Agriculture and Food EPoSS Annual Forum 2015 Cor Verdouw, Sjaak Wolfert – Wageningen UR Leuven, 13 October 2015 1
  2. 2. 10/13/2015 2 What is TP Organics?
  3. 3. 10/13/2015 3 Mission : “To define a coherent and unified approach to tackle major economic, technological or societal challenges of vital importance for Organic Food and Farming competitiveness in Europe”. Only platform for organic, agro-ecological and low- input food and farming research & innovation Only platform that takes system approach to agriculture and food chains Only platform that strongly engages with civil society organisations Established in 2008 - recognised in 2013 What is TP Organics?
  4. 4. 4 Members of TP Organics Research Centers, Universities, Scientists, Advisory Services, Innovation Brokers Education and Science National Mirrors International Cooperation with the Agri Food sector group of the Enterprises Europe Network in terms of knowledge management, technology transfer, SME Instruments. Business representatives European CSOs More then 300 active SMEs:
  5. 5. What is Wageningen UR?  Leading research organization in the agri-food domain ● Food and food production ● Living environment ● Health, lifestyle and livelihood  6,500 staff and 10,000 students from over 100 countries  University and specialised institutes for contract research ● Intensive cooperation with the agri-food industry  Key partner in Future Internet FIWARE programme ● 1st phase: Smart Agri-Food (coordinator) ● 2nd phase: FIspace (coordinator) ● 3rd phase: Smart Agri-Food 2 (coordinator), Fractals, FInish
  6. 6. Presentation structure Introduction Key challenges of the farming domain Possible application areas Requirements in agri-food domain Concluding remarks
  7. 7. Agri-Food is a large sector! 43% of the EU’s land area is being farmed • Source: Eurostat 2015, data 2009 Largest manufacturing sector in the EU • Food and drink industry is representing 15% of EU manufacturing sector turnover (FoodDrinkEurope 2015, data 2012) 27% share in the EU road transport • EU27, in tonne-kilometres, Eurostat 2014, data 2011 Agrifood exports contribute to more than 7% to total EU exports in goods • Source: EU, DG Agriculture & Rural Development, 2015 Europe is the largest exporter of agri-food products in the world • EU28 exports reached €122 billion in 2014 (EU, 2015)
  8. 8. Farming is high-tech! Video of a modern farmer
  9. 9. Huge Societal Challenges Farming Food safety and transparency of production Produce healthy food Recycling and waste reduction Climate change mitigation and adaptation Feed the world within boundaries of Earth’s carrying capacity
  10. 10. Sufficiency versus Productivity Conventional Farming high input, high output Organic Farming resource efficient, lower yields
  11. 11. Sustainable Food Security with Smart Systems Smart Systems promising to manage trade-off sufficiency and productivity Better monitoring of production – resource use, crop development, animal behaviour Better understanding of the specific farming conditions – e.g. weather and environmental conditions, emergence of pests, weeds and diseases Improving quality monitoring, traceability and consumer awareness “Ensuring the availability of, and access to sufficient safe and nutritious food, while sustainably managing natural resources”
  12. 12. A challenging domain for Smart Systems Domain-specific characteristics  High dependency on natural resources / conditions  Natural products: growth, decay, high quality variations  High societal demands  Complex tracking and tracing  Phytosanitary & veterinary inspection / certificates  High volume production and distribution  Many SME’s in global chains  Complex and dynamic networks ‘Big Farming’ High volume High variety High velocity
  13. 13. Presentation structure Introduction Key challenges of the farming domain Possible application areas Requirements in agri-food domain Concluding remarks
  14. 14. Smart Systems from farm to fork
  15. 15. Smart Farming Systems (Precision Agriculture) cloud-based event and data management smart sensing & monitoring smart analysis & planning smart control
  16. 16. Smart Systems in Agri-Food Supply Chains Virtual Box Location A Location B Location & State update Location & State update Location & State update
  17. 17. Smart Systems and the consumer Source: Smart Farming Smart Logistics tracking/& tracing Domotics Health Fitness/Well-being
  18. 18. Presentation structure Introduction Key challenges of the farming domain Possible application areas Requirements in agri-food domain Concluding remarks
  19. 19. Requirements Smart Systems in agri-food Governance Intelligence Connectivity Real-time Virtualization
  20. 20. Requirements Real-Time Virtualization Collect time and geo-referenced data retrieved from a multitude of diverse sensors Provide data from primary production to track record from farm to fork (end-to-end) Object data must be ‘reliable’ for different purposes of usage, and timely available Sensors need to be energy-autonomous and networked, and be able to operate in partially harsh environments Apply and foster advances in autonomous driving for plant monitoring and harvesting
  21. 21. Requirements Connectivity Create a platform to integrate object data with 3rd party data such as historical and forecasted meteorological data, soil databases, soil, water and air analyses and databases of weeds, diseases and pests Able to deal with internet connectivity problems in rural areas Based on technical and semantic (domain- specific) standards Seamless interoperability with backend systems and existing platforms (public or commercial platforms)
  22. 22. Requirements Intelligence Analyse and merge heterogeneous sensor data and feed the processed information into: – state-of-the-art agronomic and economic models for decision support systems – early warning and event management systems – simulation and predictive systems – reporting tools for legal and societal compliance Derive best practices* from the collected data and promote their adoption * especially to increase resource efficiency and sustainability performance
  23. 23. Requirements Governance Comply with potential ethical/regulatory issues, notably related to autonomous processes Ownership of data, privacy and liability aspects Ensure security and trust Provide business models for viable exploitation of the IoT-based solutions
  24. 24. Presentation structure Introduction Key challenges of the farming domain Possible application areas Requirements in agri-food domain Concluding remarks
  25. 25. Towards Smart Systems of Systems Redefining system bounderies 3. Smart, connected product + + + 2. Smart Product 1. Product Source: Porter & Heppelmann, 2014
  26. 26. Towards Smart Systems of Systems Redefining system bounderies 26 farm management system farm equipment system weather data system irrigation system seed optimizing system field sensors irrigation nodes irrigation application seed optimization application farm performance database seed database weather data application weather forecasts weather maps rain, humidity, temperature sensors 5. System of systems farm equipment system planters tillers combine harvesters 4. Product system
  27. 27. 10/13/2015 27 Thank you for your attention !