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The landscape of agrifood
data standards: From
ontologies to messages
Christopher Brewster
TNO, The Netherlands
1
Purpose of this talk
‣ Delineate three communities: research community, precision
agriculture/smart farming community, and supply chain
community
‣ Describe two types of standards: Messaging Standards and
Ontological Standards
‣ Argue that given the digitisation of agriculture and the food
system, there needs to be greater integration and interoperability
‣ Based on on-going research to develop a critical assessment of
agrifood standards
2
Types of Data Standards
‣ Messaging standards
‣ Mostly purely syntactic standards e.g. XML
‣ Usually about an “event” or time related
information
‣ Examples include EDIFACT and GS1 EPCIS
3
Types of Data Standards
‣ Ontological Standards
‣ Usually provide a syntax and semantics (of
varying formality)
‣ Usually used to describe attributes or states
‣ Examples include AGROVOC, GACS, various
CROP related Ontologies to annotate genomic
data
Types of Data Standards
‣ Identification standards
‣ These are really ontological standards - just very
simple ontologies
‣ Usually purely syntactic, usually used just to look
up data
‣ Most important examples are ISO 11784 for
animal identification, and GS1 GTIN (EAN/UPC
barcodes)
Three communities: Research
‣ Mostly academics with a sprinkling of commercial
participants
‣ Major focus on ontologies intended to be used to
annotate publications and research data
‣ Best known examples are AGROVOC, GACS,
NALT, recent example is FOODON
Three communities: Farming
‣ Largely dominated by farm machinery
manufacturers (such as John Deere, Claas,
Kvernaland etc.)
‣ Messaging standards for machinery (ISOBUS) and
Smart Farming (XML standards from AgGateway)
‣ Best known examples include ISOBUS,
AgGateway, some cross-overs e.g. AgroXML/
AgroRDF
Three Communities: Supply Chain
‣ Dominated by CEFACT (a UN organisation) and
GS1 (a trade association)
‣ Both focus on XML based messaging standards
with limited semantics
‣ Examples include: EDIFACT (for EDI messages),
and EPCIS (for supply chain events)
The landscape
Barriers to greater Integration
‣ Psychological barriers - not invented here syndrome
‣ Business incentives - lack of. Few success stories, perhaps
Floricode
‣ Cultural isolation - some national standards which do not
spread - Germany, France and Netherlands all have
examples
‣ Competition - multiple standards for the same sub-area
‣ None of these are unique to agrifood
Digitisation of Agrifood
‣ The substantial growth of “digitisation of agriculture”
is frustrated by confusion over standards
‣ Great opportunities to link the research domain with
actual agricultural production - can this happen?
‣ Huge need for greater data visibility in supply chain
- this cannot happen without agreed data models.
‣ How do we bridge these communities and their
standards?
Thank you
https://xkcd.com/927/

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The landscape of agrifood data standards: From ontologies to messages

  • 1. The landscape of agrifood data standards: From ontologies to messages Christopher Brewster TNO, The Netherlands 1
  • 2. Purpose of this talk ‣ Delineate three communities: research community, precision agriculture/smart farming community, and supply chain community ‣ Describe two types of standards: Messaging Standards and Ontological Standards ‣ Argue that given the digitisation of agriculture and the food system, there needs to be greater integration and interoperability ‣ Based on on-going research to develop a critical assessment of agrifood standards 2
  • 3. Types of Data Standards ‣ Messaging standards ‣ Mostly purely syntactic standards e.g. XML ‣ Usually about an “event” or time related information ‣ Examples include EDIFACT and GS1 EPCIS 3
  • 4. Types of Data Standards ‣ Ontological Standards ‣ Usually provide a syntax and semantics (of varying formality) ‣ Usually used to describe attributes or states ‣ Examples include AGROVOC, GACS, various CROP related Ontologies to annotate genomic data
  • 5. Types of Data Standards ‣ Identification standards ‣ These are really ontological standards - just very simple ontologies ‣ Usually purely syntactic, usually used just to look up data ‣ Most important examples are ISO 11784 for animal identification, and GS1 GTIN (EAN/UPC barcodes)
  • 6. Three communities: Research ‣ Mostly academics with a sprinkling of commercial participants ‣ Major focus on ontologies intended to be used to annotate publications and research data ‣ Best known examples are AGROVOC, GACS, NALT, recent example is FOODON
  • 7. Three communities: Farming ‣ Largely dominated by farm machinery manufacturers (such as John Deere, Claas, Kvernaland etc.) ‣ Messaging standards for machinery (ISOBUS) and Smart Farming (XML standards from AgGateway) ‣ Best known examples include ISOBUS, AgGateway, some cross-overs e.g. AgroXML/ AgroRDF
  • 8. Three Communities: Supply Chain ‣ Dominated by CEFACT (a UN organisation) and GS1 (a trade association) ‣ Both focus on XML based messaging standards with limited semantics ‣ Examples include: EDIFACT (for EDI messages), and EPCIS (for supply chain events)
  • 10. Barriers to greater Integration ‣ Psychological barriers - not invented here syndrome ‣ Business incentives - lack of. Few success stories, perhaps Floricode ‣ Cultural isolation - some national standards which do not spread - Germany, France and Netherlands all have examples ‣ Competition - multiple standards for the same sub-area ‣ None of these are unique to agrifood
  • 11. Digitisation of Agrifood ‣ The substantial growth of “digitisation of agriculture” is frustrated by confusion over standards ‣ Great opportunities to link the research domain with actual agricultural production - can this happen? ‣ Huge need for greater data visibility in supply chain - this cannot happen without agreed data models. ‣ How do we bridge these communities and their standards?