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Smart Food and Agribusiness:
Future Internet as a source for innovation
                  Krijn J. Poppe
              LEI Wageningen UR
           e-mail: krijn.poppe@wur.nl
             www.smartagrifood.eu
The agri-food cluster is an important economic European pillar


– With about 40 % of the EU’s land area being farmed, agriculture has a very
  important impact on the natural environment (Eurostat 2010)
– The food and drink industry is representing 13% of EU manufacturing sector
  turnover (CIAA 2010, data 2007)
– The EU is the world’s largest food and drink exporter with a share of EU
  exports to world markets of 17.5% in 2008 (CIAA 2010)
– Share of agri-food logistics in the EU road transport is about 20%
  (Eurostat/TLN 2008, data 2007)
Global Food Challenge:
                    two times more with two times less
 Food production




                                           We are here now




                                           Ecological Footprint
Current key competition issues / drivers / business models
                                                Logistics
                                  Farmer        solution     Food processor
Input industries       Software                                                   Retail / consumer
                       Provider                 providers
                   Transport                     Transport                Transport



                                                                                Retail brand
 Innovation GRIN                                 Service                        loyalty (also
   technologies                                 concepts                        versus food
                                                                               service and on
                   Small, local                                                     line)
                     farm
                    support


                                                                  Internationalisation,
                       Reduce costprice
                                                               Consumer driven innovation
                    Cope with legislation and
                                                                 Cope with power retail,
                          paper work
                                                                  Sustainability issues
Public issues / consumer concerns (motivates public interest)
                                                 Logistics
                                    Farmer       solution    Food processor
Input industries       Software                                                      Retail / consumer
                       Provider                  providers
                   Transport                     Transport                   Transport




    GRIN                  Small     Cost price     Service     Cope with retail             Loyalty


                                  Sustainability: pollution and waste                         Health


           Feed the growing world                              Food Safety
How more data contributes to this:
                                               Logistics
                                  Farmer       solution    Food processor
Input industries       Software                                                   Retail / consumer
                       Provider                providers
                   Transport                   Transport                  Transport




    GRIN                  Small   Cost price     Service      Cope with retail           Loyalty


Feed the growing world                Sustainability              Food Safety            Health

                                                              Segment
                         Precision Farming:
                                                            products and
                           better control,
                                                           input suppliers;         Consumer
                        Better management
                                                           Benchmark with        decision support
                              decision
                                                             competitors          (pre- and after
Sophisticated                                                                          sales)
 Technology,
                                    Better service concepts, e.g. in
More advise
                                    logistics (less waste) and store
                                             replenishment
Which innovations and new business models are possible ?
                                               Logistics
                                  Farmer       solution Food processor
Input industries       Software                                                   Retail / consumer
                       Provider                providers
                   Transport                   Transport                  Transport




    GRIN                  Small   Cost price     Service     Cope with retail              Loyalty


Feed the growing world                Sustainability             Food Safety               Health

 Precision Farming Better management           Service ++       Segment               Cons. support


     Open farm management                                   Measure, pay      Personalized advise
                                        Paperless chain,
   systems with specific apps.                              sustainability      with new apps
                                             Store
 Distance advise on diseases etc.                           Better Tracing       Online shops
                                        replenishment,
   Computer aided advise and                                 and tracking
                                           Category
             decisions                   management
 Regionally pooled data analysis                               Short supply chains, feed
      for science and advise                                   back consumer-producer
State of the art and bottlenecks of ICT in agri-food


•   Known state of the art regarding ICT
     – large amounts of data and fragmented applications
     – poor level of integration
     – insufficient support for intelligent user support
•   Underlying issues:
     – Semantic interoperability, data integrity, reliability, trust, scalability, capability to
       process large amounts of data in global networks.
•   This hinders development of the sector on critical issues like food safety, food
    quality, tracking and tracing, the efficiency in the use of scarce resources, etc.
•   The (global) actor network is complex to organize
     • Margins are small, competition is large, different business types, public debates,
       etc.
 Common approach such as FI-PPP is needed to meet the challenges
General objectives (Phase I)


To boost the application and use of future internet ICTs in the agri-food
sector by:
• identifying and describing the technical, functional and non-functional FI-
   specifications for experimentation in smart agri-food production as a
   whole system and in particular for smart farming, smart agri-logistics and
   smart food awareness
• identifying and developing smart agri-food-specific capabilities and
   conceptual prototypes, demonstrating critical technological solutions
   including the feasibility to further develop them in large scale
   experimentation and validation
• identifying and describing existing experimentation structures and start
   user community building, resulting in an implementation plan for the next
   phase
21 Partners from 7 European countries
SmartAgriFood: 3 use case domains – 6 pilots


     • Quality Controlled Logistics in the Flower Supply chain
     • Quality Controlled Logistics in the Fruits & Veg. chain




                                                    • Tailored Shopping
                                                      Experience
                                                    • Tracking & Tracing for
                                                      Meat Awareness




     •   Smart Spraying
     •   Smart Greenhouse Management
Farm-level: lack of integration and who cares?



                                                 Several problems:
                                                 • Suppliers and clients not
                                                  interested in data integration
                                                 • as farms are heterogeneous
                                                 • Small IT suppliers lack
                                                  investment capacity
                                                 • but precision farming (IoT)
                                                  overloads farmers with data




                                                    Network-(hybrid) centric
                                                    solution is needed !



                                                                         12
Vision for FI application potentials
Process Controls any (all) ag machines,
Intelligence Anywhere in Variable Ad-Hoc-Networks


                                                            Vehicles “order” fuel,
                                                            spare parts, transfer
                                                            trailers

                                                            Process controller
                                                            calculates and
                                                            broadcasts directives
                                                            to operators



Dispatcher is informed about
approaching thunderstorm and
can trigger new optimization
criteria
                               Central system calculates
                               routing on field and road.




                                          13
Scenario for a machine breakdown: User Interface in Cabin
Use Scenario - John Deere Machine Breakdown Service
Automatic assistance in real time – Notification of hardware malfunction
Use Scenario - John Deere Machine Breakdown Service
Automatic assistance in real time – Defect details of hardware malfunction
Use Scenario - John Deere Machine Breakdown Service
Automatic assistance in real time – Prepare solution choices
Use Scenario - John Deere Machine Breakdown Service
Automatic assistance in real time – Status of settled problems
Small scale pilot – farmer interface (1)

              Welcome John!                                                                                     Sign out
                                          Home   My profile   Mail(3)     Hot News!        Search Engine



                                                                                                           My farms
Hot News!!!
    The National Milk Quota
    for the year 20011 is….                                                                                My friends
    Subsides are given to …


Community               My friends
                             Aaron H.
You!: Yes Nick, I am         Adele W.                                    URGENT!!!
fine!!! I called Jack        Agatha C.
Bayer for spraying my        Allan G.                                   Soil Humidity is
crops. He is                 Alex L.                                    low. You should
awesome!!!                   Alton K.                                    irrigate your…
Nick: Jack Bayer? ??         Betty F.
How did you find             Brand S.
him?                         Candy C.
You!: You go to the          Carmel C.
search engine and            Celia G.
ask for spray                Charles E.
contractors in the           Clark U.
neighborhood. I              Dale W.
checked the ratings          Daniel F.
and I decided to call        Daniel G.
him. Man, he helped          Daniel R.
me a lot. You should         Dixon R.
call me RIGHT NOW!           Elliot B.
Jack: Thanks for the         Celia G.
advice! You already          Charles E.
know that the last           Clark U.
disease ruined my


  You are right!!!         Send




                                                                                                                           19
Small scale pilot – farmer interface (2)

          Welcome John,                                                                                             Sign out
          your friends are      Home   My profile                 Mail(3)     Hot News!        Search Engine
          waiting for you!


                                                                                                               My farms


                                                                                                               My friends
LIST of my friends
 Aaron Hemilton         GO!!!
                                         URGENT!!!
                                          Aphids has
                                        infected Jack’s
                  Add friend              crop. He …      URGENT!!!
                                                                             URGENT!!!
                                                                            Soil Humidity is
          Friend Request(2)                                 Aphids has      low. You should
                                                          infected Nicks     irrigate your..
                                                            crop. He …
            Friends Alarms

            Community Blog

            Farming Issues

             Area Statistics

                    Chat

                   History

                   Privacy



                                                                                                                               20
Smart Agri-Logistics: Diverse and Dynamic Supply Chains




         Illustrative example of a meat supply chain (source: GS1)
Vision for FI Application Potentials: Critical Features


                                                                   7.0




               Logistics Intelligence
                                                                                                                                                 DFD

                                                                   6.5




                                                     Ultimate pH
                                                                                                                                               normal
                                                                   6.0




                                                                                                                                        normal or PSE

                                                                   5.5


                                                                                                                                                 acid



                                                                   5.0
                                                                         0   10   20    30       40       50       60       70     80     90       100
                                                                                       Glycongen concn. (µm ol glucose equiv./g)




              Logistics Connectivity

            Real-time Virtualization
Simulated screens to demonstrate the concept
Cloud Event Management System
         Virtual               Virtual                    Virtual
         Location A             Plant                     Location B




                                                                Environ
         Environ                                                 ment
Location Ament                               Location B
                                                                update
         update
                                Plant
                              location
                               update
Mock-up quality monitoring screen



                               • Overview of conditions
                               • Overview of cultivars in
                                 docking area
                               • Quality of cultivars
                               • Appropriateness of
                                 storing conditions for
                                 cultivars present
                               • Alarms for problem
                                 notification
Mock-up quality simulation screen


                               • Historic quality trajectory
                                 based on measurements
                               • Simulated quality based
                                 on decay models
                               • Alarms for expected
                                 quality problems
                               • Advices for interventions
Live demo

User interface


                           1.   Search and select
                                objects
                 2.
                           2.   Location of the
   1.                           object
                 3.   4.
                           3.   Environmental
                                conditions
                      5.
                           4.   Representative
                                picture of the
                                object
                           5.   Historic trajectory
                      6.        of environmental
                                conditions
                           6.   Expected quality
                                trajectory
Architecture of the implemented prototype
Open platforms,
Food Awareness                                   anonymization,
                                                 security/privacy
                     IoT, open
                  infrastructure




                                                        Mobility, device
                                                        independence,
                                                      recommendations,
                                                       social networking




                 Interoperability,     Open
                  semantics, big     platforms
                 amounts of data
Vision for FI application potentials
   hybrid network architecture




                                       30
Aspects of the super scenario
               agri-food supply chain stakeholders




functionalities for information exchange and collaboration support




                      enabling technologies




                        enabling policies
Detailed super scenario aspects
   farms             trade/logistics           retail             consumers             society


                         service discovery, configuration, and delivery


  identification          business relations        product information            certification


                     information sharing and interoperability in the cloud


                              FI, generic enablers, and standards

                               location                                              semantic
Internet of Things                                      image recognition
                             technologies                                          technologies

           common ontologies                                   trust, privacy, and security
Super scenario: generic services



          Identification          Certification
             services               services




        Business relations    Product information
             services              services


       Generic and SmartAgriFood specific Enablers
Super scenario: generic services
How will the super scenario work?
                         Product Information Service enables information
                         exchange
                                               consumer




                                                                                 exception notification
                                                                                 tailored information ;
feedback to enhance
 quality and delivery




                                          semantic technologies


                           data bases          data bases           data bases


                                        GS1 and other standards


                             farms               logistics             retail


                                      business
                                                            services
                                   arrangements
                         Business Relations Service enables collaboration
To be continued in cSpace (under negotiation)


                                  Forwarder
                                                                                          Future Internet
                  Consultants
                                                        Carriers
                                                                                          will facilitate:
                                                                                          ■ … seamless cross-organizational
Production                                                                                  collaboration (information
   Plants                                                                     Consumers     exchange, communication,
                                  Features                                                  coordination of activities)
                                                  New Services & Apps
                  Collaboration & Communication                                           ■ …unprecedented transparency,
                                                       End-2-End Visibility
                 Machine-2-Machine Communication                                            visibility and control of processes
                                                                                            (using Internet-connected sensors and
                         High-Quality Customer Applications
        Banks                                                                               IoT devices)
                                                                        Ports
                    Insurances                                                            ■ …rapid, easy, low cost
                                 Customs Authorities
                                                                                            development and deployment of
                                                                                            customized solutions (apps and
                                                                                            services)
                                                                                          ■ …agile formation of business
             Agri-Food, Transport and Logistics:                                            networks and ecosystems (social
             •    EU turnover: 1,500 billion €                                              networks and app/service markets)
             •    Efficiency: 148-220 billion € savings
             •    Sustainability: 26.5% of CO2 emissions
To conclude


• The SmartAgriFood project will
   – boost the application and use of future internet ICTs in the
     agri-food sector
   – increase the competiveness of the European agri-food
     cluster and related (ICT) service industry in order to meet
     the global challenges for food production
   – enhance the dialogue between the user community and
     the ICT community to identify, develop and test new
     concepts for better exploitation of the Future Internet in
     the agri-food sector
Thank you for your attention!


         More information:
        www.smartagrifood.eu

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Smart agrifood barcelona_feb2013

  • 1. Smart Food and Agribusiness: Future Internet as a source for innovation Krijn J. Poppe LEI Wageningen UR e-mail: krijn.poppe@wur.nl www.smartagrifood.eu
  • 2. The agri-food cluster is an important economic European pillar – With about 40 % of the EU’s land area being farmed, agriculture has a very important impact on the natural environment (Eurostat 2010) – The food and drink industry is representing 13% of EU manufacturing sector turnover (CIAA 2010, data 2007) – The EU is the world’s largest food and drink exporter with a share of EU exports to world markets of 17.5% in 2008 (CIAA 2010) – Share of agri-food logistics in the EU road transport is about 20% (Eurostat/TLN 2008, data 2007)
  • 3. Global Food Challenge: two times more with two times less  Food production We are here now  Ecological Footprint
  • 4. Current key competition issues / drivers / business models Logistics Farmer solution Food processor Input industries Software Retail / consumer Provider providers Transport Transport Transport Retail brand Innovation GRIN Service loyalty (also technologies concepts versus food service and on Small, local line) farm support Internationalisation, Reduce costprice Consumer driven innovation Cope with legislation and Cope with power retail, paper work Sustainability issues
  • 5. Public issues / consumer concerns (motivates public interest) Logistics Farmer solution Food processor Input industries Software Retail / consumer Provider providers Transport Transport Transport GRIN Small Cost price Service Cope with retail Loyalty Sustainability: pollution and waste Health Feed the growing world Food Safety
  • 6. How more data contributes to this: Logistics Farmer solution Food processor Input industries Software Retail / consumer Provider providers Transport Transport Transport GRIN Small Cost price Service Cope with retail Loyalty Feed the growing world Sustainability Food Safety Health Segment Precision Farming: products and better control, input suppliers; Consumer Better management Benchmark with decision support decision competitors (pre- and after Sophisticated sales) Technology, Better service concepts, e.g. in More advise logistics (less waste) and store replenishment
  • 7. Which innovations and new business models are possible ? Logistics Farmer solution Food processor Input industries Software Retail / consumer Provider providers Transport Transport Transport GRIN Small Cost price Service Cope with retail Loyalty Feed the growing world Sustainability Food Safety Health Precision Farming Better management Service ++ Segment Cons. support Open farm management Measure, pay Personalized advise Paperless chain, systems with specific apps. sustainability with new apps Store Distance advise on diseases etc. Better Tracing Online shops replenishment, Computer aided advise and and tracking Category decisions management Regionally pooled data analysis Short supply chains, feed for science and advise back consumer-producer
  • 8. State of the art and bottlenecks of ICT in agri-food • Known state of the art regarding ICT – large amounts of data and fragmented applications – poor level of integration – insufficient support for intelligent user support • Underlying issues: – Semantic interoperability, data integrity, reliability, trust, scalability, capability to process large amounts of data in global networks. • This hinders development of the sector on critical issues like food safety, food quality, tracking and tracing, the efficiency in the use of scarce resources, etc. • The (global) actor network is complex to organize • Margins are small, competition is large, different business types, public debates, etc.  Common approach such as FI-PPP is needed to meet the challenges
  • 9. General objectives (Phase I) To boost the application and use of future internet ICTs in the agri-food sector by: • identifying and describing the technical, functional and non-functional FI- specifications for experimentation in smart agri-food production as a whole system and in particular for smart farming, smart agri-logistics and smart food awareness • identifying and developing smart agri-food-specific capabilities and conceptual prototypes, demonstrating critical technological solutions including the feasibility to further develop them in large scale experimentation and validation • identifying and describing existing experimentation structures and start user community building, resulting in an implementation plan for the next phase
  • 10. 21 Partners from 7 European countries
  • 11. SmartAgriFood: 3 use case domains – 6 pilots • Quality Controlled Logistics in the Flower Supply chain • Quality Controlled Logistics in the Fruits & Veg. chain • Tailored Shopping Experience • Tracking & Tracing for Meat Awareness • Smart Spraying • Smart Greenhouse Management
  • 12. Farm-level: lack of integration and who cares? Several problems: • Suppliers and clients not interested in data integration • as farms are heterogeneous • Small IT suppliers lack investment capacity • but precision farming (IoT) overloads farmers with data Network-(hybrid) centric solution is needed ! 12
  • 13. Vision for FI application potentials Process Controls any (all) ag machines, Intelligence Anywhere in Variable Ad-Hoc-Networks Vehicles “order” fuel, spare parts, transfer trailers Process controller calculates and broadcasts directives to operators Dispatcher is informed about approaching thunderstorm and can trigger new optimization criteria Central system calculates routing on field and road. 13
  • 14. Scenario for a machine breakdown: User Interface in Cabin
  • 15. Use Scenario - John Deere Machine Breakdown Service Automatic assistance in real time – Notification of hardware malfunction
  • 16. Use Scenario - John Deere Machine Breakdown Service Automatic assistance in real time – Defect details of hardware malfunction
  • 17. Use Scenario - John Deere Machine Breakdown Service Automatic assistance in real time – Prepare solution choices
  • 18. Use Scenario - John Deere Machine Breakdown Service Automatic assistance in real time – Status of settled problems
  • 19. Small scale pilot – farmer interface (1) Welcome John! Sign out Home My profile Mail(3) Hot News! Search Engine My farms Hot News!!! The National Milk Quota for the year 20011 is…. My friends Subsides are given to … Community My friends Aaron H. You!: Yes Nick, I am Adele W. URGENT!!! fine!!! I called Jack Agatha C. Bayer for spraying my Allan G. Soil Humidity is crops. He is Alex L. low. You should awesome!!! Alton K. irrigate your… Nick: Jack Bayer? ?? Betty F. How did you find Brand S. him? Candy C. You!: You go to the Carmel C. search engine and Celia G. ask for spray Charles E. contractors in the Clark U. neighborhood. I Dale W. checked the ratings Daniel F. and I decided to call Daniel G. him. Man, he helped Daniel R. me a lot. You should Dixon R. call me RIGHT NOW! Elliot B. Jack: Thanks for the Celia G. advice! You already Charles E. know that the last Clark U. disease ruined my You are right!!! Send 19
  • 20. Small scale pilot – farmer interface (2) Welcome John, Sign out your friends are Home My profile Mail(3) Hot News! Search Engine waiting for you! My farms My friends LIST of my friends Aaron Hemilton GO!!! URGENT!!! Aphids has infected Jack’s Add friend crop. He … URGENT!!! URGENT!!! Soil Humidity is Friend Request(2) Aphids has low. You should infected Nicks irrigate your.. crop. He … Friends Alarms Community Blog Farming Issues Area Statistics Chat History Privacy 20
  • 21. Smart Agri-Logistics: Diverse and Dynamic Supply Chains Illustrative example of a meat supply chain (source: GS1)
  • 22. Vision for FI Application Potentials: Critical Features 7.0 Logistics Intelligence DFD 6.5 Ultimate pH normal 6.0 normal or PSE 5.5 acid 5.0 0 10 20 30 40 50 60 70 80 90 100 Glycongen concn. (µm ol glucose equiv./g) Logistics Connectivity Real-time Virtualization
  • 23. Simulated screens to demonstrate the concept
  • 24. Cloud Event Management System Virtual Virtual Virtual Location A Plant Location B Environ Environ ment Location Ament Location B update update Plant location update
  • 25. Mock-up quality monitoring screen • Overview of conditions • Overview of cultivars in docking area • Quality of cultivars • Appropriateness of storing conditions for cultivars present • Alarms for problem notification
  • 26. Mock-up quality simulation screen • Historic quality trajectory based on measurements • Simulated quality based on decay models • Alarms for expected quality problems • Advices for interventions
  • 27. Live demo User interface 1. Search and select objects 2. 2. Location of the 1. object 3. 4. 3. Environmental conditions 5. 4. Representative picture of the object 5. Historic trajectory 6. of environmental conditions 6. Expected quality trajectory
  • 28. Architecture of the implemented prototype
  • 29. Open platforms, Food Awareness anonymization, security/privacy IoT, open infrastructure Mobility, device independence, recommendations, social networking Interoperability, Open semantics, big platforms amounts of data
  • 30. Vision for FI application potentials hybrid network architecture 30
  • 31. Aspects of the super scenario agri-food supply chain stakeholders functionalities for information exchange and collaboration support enabling technologies enabling policies
  • 32. Detailed super scenario aspects farms trade/logistics retail consumers society service discovery, configuration, and delivery identification business relations product information certification information sharing and interoperability in the cloud FI, generic enablers, and standards location semantic Internet of Things image recognition technologies technologies common ontologies trust, privacy, and security
  • 33. Super scenario: generic services Identification Certification services services Business relations Product information services services Generic and SmartAgriFood specific Enablers
  • 35. How will the super scenario work? Product Information Service enables information exchange consumer exception notification tailored information ; feedback to enhance quality and delivery semantic technologies data bases data bases data bases GS1 and other standards farms logistics retail business services arrangements Business Relations Service enables collaboration
  • 36. To be continued in cSpace (under negotiation) Forwarder Future Internet Consultants Carriers will facilitate: ■ … seamless cross-organizational Production collaboration (information Plants Consumers exchange, communication, Features coordination of activities) New Services & Apps Collaboration & Communication ■ …unprecedented transparency, End-2-End Visibility Machine-2-Machine Communication visibility and control of processes (using Internet-connected sensors and High-Quality Customer Applications Banks IoT devices) Ports Insurances ■ …rapid, easy, low cost Customs Authorities development and deployment of customized solutions (apps and services) ■ …agile formation of business Agri-Food, Transport and Logistics: networks and ecosystems (social • EU turnover: 1,500 billion € networks and app/service markets) • Efficiency: 148-220 billion € savings • Sustainability: 26.5% of CO2 emissions
  • 37. To conclude • The SmartAgriFood project will – boost the application and use of future internet ICTs in the agri-food sector – increase the competiveness of the European agri-food cluster and related (ICT) service industry in order to meet the global challenges for food production – enhance the dialogue between the user community and the ICT community to identify, develop and test new concepts for better exploitation of the Future Internet in the agri-food sector
  • 38. Thank you for your attention! More information: www.smartagrifood.eu