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Information Management & ICT in Agri-Food
Supply Chain Networks
Dr. Sjaak Wolfert
Chinese delegation from Fuijian
03 March...
Sjaak Wolfert – curriculum vitae


1990 – 1996: MSc Crop Science at Wageningen Agricultural University

● Thesis: Modelli...
Sources used


Dutch projects:

● KodA – from knowledge to practice for arable farming (2006-2010)
● PPL – program on Pre...
Knowledge

development

application

Practice
law & regulation

multi-dimensional

horizontal
fulfillment

innovation

Agri-Food Supply

Chain Networks
(AFSCN)
geograph...
ICT becomes a key driver for innovation
 Location-based monitoring and service delivery through GPS
 Internet of Things ...
Business process modeling using SOA
business process management layer

production
process

business service layer
get
rest...
General framework for development: incremental
growth

Overall
Development

A.
Analy
sis

B.
Basic
Design

Generic Integra...
KodA - some examples of
activities
• set up of a benchmark system for farmers
• set up of an improved bonus system for
far...
Example business cases
Crop protection
• Precise (mechanical) systems for weeding (within row)
• Site-specific detection a...
Coordination and support of
setting up a network for
developing a system for common
data exchange in the agricultural
sect...
Project details
• EU Seventh Framework Program (7FP)
– Knowledge Based Bio Economy (KBBE)

• Coordination and Support Acti...
Main objectives and deliverables
•

establish a platform on data exchange in
agriculture in the EU
•
•

•

develop a refer...
Smart Food and Agribusiness: Future Internet for
Safe and Healthy Food from Farm to Fork
Dr. Sjaak Wolfert (coordinator)
L...
SmartAgriFood project details
• EU Seventh Framework Program (7FP)
– Future Internet Public Private Partnership programme ...
21 Partners from 7 European countries
SmartAgriFood: 3 use case domains – 6 pilots

Fruits & Vegs
Supply Chain
Flowers & Plants
Supply Chain

Meat
Transparency
...
Future Internet
Business Collaboration
Networks in Agri-Food,
Transport & Logistics

Sjaak Wolfert
Project Coordinator
Wag...
Project Details
• EU Seventh Framework Program (7FP)
– Future Internet Public Private Partnership programme (FI-PPP)

• Pr...
Coordinator

Partners
Partners

Trial
partners

Technical
partners

Knowledge
and
networking
partners

Pert
Motivation and Impact

Forwarder

Carriers

FIspace will facilitate:

Consultants

■ … seamless cross-organizational
colla...
(converging)

Industries

FIspace Ecosystem Development
Farming & Manufacturing

(Producers, Farmers, Manufacturers, Suppl...
Use Case Trial Experimentation Sites
Farming in the Cloud
Intelligent Perishable
Goods Logistics
Smart Distribution
and Co...
More information

 www.agriXchange.eu
 www.SmartAgriFood.eu
 www.FIspace.eu
Or contact me:
sjaak.wolfert@wur.nl
nl.link...
Thank you for
your attention
Backup slides
How can Future Internet boost the application of ICT?
Input industries

Software
Provider
Transport

Farmer

Logistic
solu...
Current key competition issues / drivers / business models

Software
Provider

Input industries

Farmer

Transport

Innova...
Public issues / consumer concerns (motivate public interest)

Input industries

Farmer

Software
Provider
Transport

GRIN
...
How more data contributes to this

Input industries

Software
Provider

Farmer

Transport

GRIN

Sophisticated
Technology,...
Which innovations and new business models are possible ?

Input industries

Logistic
solution
providers

Farmer

Software
...
Smart Farming

Egon Schulz,
Huawei Technologies Düsseldorf GmbH
Egon.Schulz@huawei.com
Smart Farming in the Cloud
E-agriculturist Service
for spraying potatoes

Services

Spraying Advisory
Services

Meteorolog...
Small scale pilot – farmer interface for spraying and greenhouse
use case (1/2)
Welcome John!

Sign out
Home

My profile

...
Smart Agri-Logistics

Cor Verdouw
LEI part of Wageningen UR
cor.verdouw@wur.nl
Vision for FI Application Potentials: Critical
Features
7.0

Ultimate pH

Logistics Intelligence

DFD
6.5

normal

6.0

no...
Cloud Event Management System

Virtual
Location A

Virtual
Location B

Virtual
Plant

Environ
Location A
ment
update

Loca...
Smart Food Awareness

Elies Prunes Soler, Atos
elies.prunes@atosresearch.eu
Tracking and Tracing and Meat Awareness (TTAM)
Open platforms,
anonymization,
security/privacy

Contribution of Future Internet
IoT, open
infrastructure

Mobility, devic...
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Chinese Fujian delegation 03Mar2014

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Presentation for a Chinese delegation from the Fujian province that did a study tour in The Netherlands. I presented the work LEI Wageningen UR is doing on Information Management & ICT in Agri-Food by highlighting project work.

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  • Op dezedriedomeinenworden in het totaal 6 pilots uitgevoerdDoel van de pilots is om:Eisenaan future internet aanscherpenDemonstreren van mogelijkheden in een prototypesVoorbereidenopschalen in fase 2 van het programma, verbindennaargebruikers etc.
  • Red rectangles: new partners that were not in SmartAgriFood or FInest
  • These sectors together have a huge potential impact on the European economy and society.EU turnover: 1,500 billion €Efficiency: 148-220 billion € savingsSustainability: 26.5% of CO2 emissionsHere you see a picture of the business network we are dealing with (farmers, carriers, retail, customs, etc.)They are challenged by all kind of ICT-related developments, such as:High-quality customer applications, end2end visibility, M2M communication, etc.But there are currently still quite some bottlenecks to be solved, such as:Interoperability between current inter-enterprise information systems (still use of paper, fax, phone, etc.)Tracking and tracing possibilities are still limited (especially e.g. if you want to know what happened to your food between production and consumption)Especially for SMEs, software is relatively expensive, while the need for flexible, customized solutions has increasedThese bottlenecks are the reason for current limited and rather fixed business collaboration networks, hampering innovation in generalThrough conceptual prototypes in phase 1 we have made it plausible that FI will significantly contribute to overcoming these bottlenecks by facilitating:...seamless cross-organizational collaboration…unprecedented transparency, visibility and control of processes…rapid, easy, low cost development and deployment of customized solutions…agile formation of business networks and ecosystems
  • - Main challenge for future internet logistics is to enable the agri-food industry to deal with the high dynamics and complexity - We have distinguished 3 critical features to do so123- In order to define more specific requirements, the WP300 team has defined and analysed application scenarios- Such scenario’s describe specific functionalities within Smart Agri-Logistics
  • Transcript of "Chinese Fujian delegation 03Mar2014"

    1. 1. Information Management & ICT in Agri-Food Supply Chain Networks Dr. Sjaak Wolfert Chinese delegation from Fuijian 03 March 2014, The Hague, The Netherlands
    2. 2. Sjaak Wolfert – curriculum vitae  1990 – 1996: MSc Crop Science at Wageningen Agricultural University ● Thesis: Modelling crop growth using literate programming  1996 – 2002: PhD at Wageningen University, depts. of Organic Agriculture/Applied Computer Science ● Thesis: Sustainable agriculture: how to make it work – a modeling approach to support management of a mixed ecological farm  2001 – now: Senior Scientific Researcher Information Management and ICT in Agri-Food Supply Chain Networks at the Agricultural Economics Research Institute (LEI) of Wageningen University and Research Centre  2007-2009: President of EFITA (European Federation for ICT in Agriculture Food and the Environment)  2009 – now: Assistant Professor Information Systems at Information Technology Group of Wageningen University  2011: guest researcher at Massey University, New Zealand
    3. 3. Sources used  Dutch projects: ● KodA – from knowledge to practice for arable farming (2006-2010) ● PPL – program on Precision Agriculture (2010-2014) ● Digital Horticulture (2009-2013)  EU projects ● agriXchange (2010-2012) ● SmartAgriFood (2011-2013) ● FIspace (2013-2015)  Other: ● Developing (martket) IS in Saudi-Arabia, Indonesia
    4. 4. Knowledge development application Practice
    5. 5. law & regulation multi-dimensional horizontal fulfillment innovation Agri-Food Supply Chain Networks (AFSCN) geographic cluster • information • communication • control • ICT plays a crucial role • farm is a focal company Vertical
    6. 6. ICT becomes a key driver for innovation  Location-based monitoring and service delivery through GPS  Internet of Things (IoT) – everything/everyone gets connected, M2M communication leading to autonomously communicating devices and virtualization of objects and processes  Data explosion (Big Data), linked open data and the potential of open innovation  Mobile, Cloud services and App stores – the Internet is everywhere (smart phones, embedded networked devices, etc.) with new possibilities for service delivery, augmented reality, etc.  Social media – more direct and instant interaction between stakeholders potentially leading to new market opportunities and channels, co-innovation, etc.
    7. 7. Business process modeling using SOA business process management layer production process business service layer get restrictions information get field and crop data get cost analysis get legal restrictions/ environmen tal points update administration application service layer application application application application application market 1 market 2 farm research institute government
    8. 8. General framework for development: incremental growth Overall Development A. Analy sis B. Basic Design Generic Integration Framework • Technical Architecture • Reference Information Model • Technical Infrastructure • Organizational Infrastructure ……… Pilot C Pilot B Pilot A Prototyping C. Iterative Implementation
    9. 9. KodA - some examples of activities • set up of a benchmark system for farmers • set up of an improved bonus system for farmers to pay for better quality and help them to attain that quality • stimulate farmers to register data electronically • develop methods and technologies for sitespecific farming
    10. 10. Example business cases Crop protection • Precise (mechanical) systems for weeding (within row) • Site-specific detection and control of pests and diseases • Robot for detecting viruses in tulips Fertilization • Within-row fertilization • Variable rate fertilization with the aid of different sensor technologies (including soil-moisture sensors) • Precise application of organic fertilizer (manure) Controlled Traffic Farming • Advanced routeplanning • ISOBUS integration in RTK-GPS guidance In het Programma Precisie Landbouw (PPL) investeren landbouwbedrijfsleven en ministerie van EL&I in hulpmiddelen voor innovatieve Controlled Traffic Farming, Bemesting en Gewasbescherming
    11. 11. Coordination and support of setting up a network for developing a system for common data exchange in the agricultural sector www.agriXchange.org
    12. 12. Project details • EU Seventh Framework Program (7FP) – Knowledge Based Bio Economy (KBBE) • Coordination and Support Action (CSA) – Total budget: 1.3 M€ – EC contribution: 1 M€ • Start date: 1 Dec. 2009 • End date: 1 Dec. 2012 • Grant agreement no. 244957
    13. 13. Main objectives and deliverables • establish a platform on data exchange in agriculture in the EU • • • develop a reference framework for interoperability of data exchange in agriculture in the EU by use cases: • • • • • technical infrastructure community of practice Land Parcel Identification System (LPIS) Geo-Farmer and -Fertilizing Animal registration Animal identification (validating) identify the main challenges for harmonizing data exchange in agriculture in the EU => SRA
    14. 14. Smart Food and Agribusiness: Future Internet for Safe and Healthy Food from Farm to Fork Dr. Sjaak Wolfert (coordinator) LEI Wageningen UR e-mail: sjaak.wolfert@wur.nl www.smartagrifood.eu
    15. 15. SmartAgriFood project details • EU Seventh Framework Program (7FP) – Future Internet Public Private Partnership programme (FI-PPP) • • • • • Project type: Collaborative Project - Large-scale Integrated Project (IP) Total budget: 7.3 M€ EU funding: 5 M€ Duration: April 2011 – April 2013 (Phase I) Grant Agreement 285326
    16. 16. 21 Partners from 7 European countries
    17. 17. SmartAgriFood: 3 use case domains – 6 pilots Fruits & Vegs Supply Chain Flowers & Plants Supply Chain Meat Transparency Tailored Shopping Experience Arable Farming (spraying) Vegetable Production (greenhouse)
    18. 18. Future Internet Business Collaboration Networks in Agri-Food, Transport & Logistics Sjaak Wolfert Project Coordinator Wageningen UR (NL)
    19. 19. Project Details • EU Seventh Framework Program (7FP) – Future Internet Public Private Partnership programme (FI-PPP) • Project type: Collaborative Project - Large-scale Integrated Project (IP) • Total budget: 20 M€ • EU funding: 13.5 M€ • Duration: April 2013 – April 2015 (Phase II) • Grant Agreement: 604123
    20. 20. Coordinator Partners Partners Trial partners Technical partners Knowledge and networking partners Pert
    21. 21. Motivation and Impact Forwarder Carriers FIspace will facilitate: Consultants ■ … seamless cross-organizational collaboration (information Production Plants Consumers Future Internet Features Internet of Tings Cloud Computing Banks Wireless Sensor Networks Privacy & Security Location-based services Internet of Services Social Media Linked Open Data, Big Data Insurances Customs Authorities Ports exchange, communication, coordination of activities) ■ …unprecedented transparency, visibility and control of processes (using Internet-connected sensors and IoT devices) ■ …rapid, easy, low cost development and deployment of customized solutions (apps and services) Agri-Food, Transport and Logistics: • • • EU turnover: 1,500 billion € Efficiency: 148-220 billion € savings Sustainability: 26.5% of CO2 emissions ■ …agile formation of business networks and ecosystems (social networks and app/service markets)
    22. 22. (converging) Industries FIspace Ecosystem Development Farming & Manufacturing (Producers, Farmers, Manufacturers, Suppliers, ..) Base Technologies Transport & Logistics Wholesale & Retail (Forwarder, Carriers, 3PL / 4PL, Ports, …) (Warehouses, Supermarkets, Stores, …) Service Sector (Banks, Insurances, Authorities, ..´) ICT Industry (going to the Cloud) Value-Added Service Providers (+ follow up) GENERIC ENABLERS I2ND IoT IoC IoS Cloud Operators & Infrastructure Providers S&T DEVELOPMENT TOOLKIT Validation Software & Solution Providers
    23. 23. Use Case Trial Experimentation Sites Farming in the Cloud Intelligent Perishable Goods Logistics Smart Distribution and Consumption 3 51 4 6 2 8 7 1. Crop Protection Information Sharing 2. Greenhouse Management & Control 3. Fish Distribution and (Re-) Planning 4. Fresh Fruit and Vegetables Quality Assurance 5. Flowers and Plants Supply Chain Monitoring 6. Meat Information Provenance 7. Import and Export of Consumer Goods 8. Tailored Information for Consumers
    24. 24. More information  www.agriXchange.eu  www.SmartAgriFood.eu  www.FIspace.eu Or contact me: sjaak.wolfert@wur.nl nl.linkedin.com/in/sjaakwolfert/ @sjaakwolfert
    25. 25. Thank you for your attention
    26. 26. Backup slides
    27. 27. How can Future Internet boost the application of ICT? Input industries Software Provider Transport Farmer Logistic solution providers Food processor Transport Retail / consumer Transport Current key competition issues / drivers / business models Public issues / consumer concerns (that motivate public investments) How more data contributes to this Which innovations and new business models are possible ?
    28. 28. Current key competition issues / drivers / business models Software Provider Input industries Farmer Transport Innovation GRIN technologies Small, local farm support Reduce cost price Cope with legislation and paper work Logistic solution providers Transport Service concepts Food processor Retail / consumer Transport Retail brand loyalty (also versus food service and on line) Internationalization, Consumer driven innovation Cope with power retail, Sustainability issues
    29. 29. Public issues / consumer concerns (motivate public interest) Input industries Farmer Software Provider Transport GRIN Logistic solution providers Food processor Transport Small Cost price Service Transport Cope with retail Sustainability: pollution and waste Feeding the world within boundaries of earth’s carrying capacity Retail / consumer Loyalty Health Food Safety + Transparency
    30. 30. How more data contributes to this Input industries Software Provider Farmer Transport GRIN Sophisticated Technology, More advise Food processor Transport Small Feed the growing world Logistic solution providers Cost price Service Sustainability Precision Farming: better control Better management decisions Retail / consumer Transport Cope with retail Loyalty Safety + Transparency Health Segment products and input suppliers; Benchmark with competitors Better service concepts, e.g. in logistics (less waste) and store replenishment Consumer decision support (pre- and after sales)
    31. 31. Which innovations and new business models are possible ? Input industries Logistic solution providers Farmer Software Provider Transport GRIN Transport Small Feed the growing world Food processor Cost price Service Sustainability Precision Farming Better management Open farm management systems with specific apps. Distance advise on diseases etc. Computer aided advise and decisions Regionally pooled data analysis for science and advise Service ++ Paperless chain, Store replenishment, Category management Retail / consumer Transport Cope with retail Loyalty Safety + Transparency Health Segment Measure, pay sustainability Better T&T Cons. support Personalized advise with new apps Online shops Short supply chains, feed back consumer-producer
    32. 32. Smart Farming Egon Schulz, Huawei Technologies Düsseldorf GmbH Egon.Schulz@huawei.com
    33. 33. Smart Farming in the Cloud E-agriculturist Service for spraying potatoes Services Spraying Advisory Services Meteorological Service Machine Breakdown Service State and Policy Information Service FMIS User’s devices App store FI-Ware enabled Cloud Platform Cloud FMS Other sources sensors actuators data sources (‘Internet of Things’) Local FMS
    34. 34. Small scale pilot – farmer interface for spraying and greenhouse use case (1/2) 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 You!: Yes Nick, I am fine!!! I called Jack Bayer for spraying my crops. He is awesome!!! Nick: Jack Bayer? ?? How did you find him? You!: You go to the search engine and ask for spray contractors in the neighborhood. I checked the ratings and I decided to call him. Man, he helped me a lot. You should call me RIGHT NOW! Jack: Thanks for the advice! You already know that the last disease ruined my You are right!!! My friends Aaron H. Adele W. Agatha C. Allan G. Alex L. Alton K. Betty F. Brand S. Candy C. Carmel C. Celia G. Charles E. Clark U. Dale W. Daniel F. Daniel G. Daniel R. Dixon R. Elliot B. Celia G. Charles E. Clark U. URGENT!!! Soil Humidity is low. You should irrigate your… Send 34
    35. 35. Smart Agri-Logistics Cor Verdouw LEI part of Wageningen UR cor.verdouw@wur.nl
    36. 36. Vision for FI Application Potentials: Critical Features 7.0 Ultimate pH Logistics Intelligence DFD 6.5 normal 6.0 normal or PSE 5.5 acid 5.0 0 10 20 30 40 50 60 70 Glycongen concn. (µm ol glucose equiv./g) Logistics Connectivity Real-time Virtualization 80 90 100
    37. 37. Cloud Event Management System Virtual Location A Virtual Location B Virtual Plant Environ Location A ment update Location B Plant location update Environ ment update
    38. 38. Smart Food Awareness Elies Prunes Soler, Atos elies.prunes@atosresearch.eu
    39. 39. Tracking and Tracing and Meat Awareness (TTAM)
    40. 40. Open platforms, anonymization, security/privacy Contribution of Future Internet IoT, open infrastructure Mobility, device independence, recommendations, social networking Interoperability, semantics, big amounts of data Open platforms
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