Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Frans van Diepen

383 views

Published on

Dutch Ministry of Economic Affairs, The Netherlands

Published in: Technology
  • Be the first to comment

  • Be the first to like this

Frans van Diepen

  1. 1. Public Open Agri Data in The Netherlands accelerating new business Frans van Diepen
  2. 2. What matters • Sustainability • Food safety • Market access • Competitiveness • Dependencies in food chain • Trust between the partners
  3. 3. Product Flow Exchange of Information
  4. 4. Developments in agro food • Sustainability • Food safety • Market access • Traceability • Transparancy
  5. 5. Traceability, Transperancy and Trust 5 • Party - Identification - Information • Product - Identification - Description - Process - Location - Date/time • Who • What • Why • Where • When transparancy trust share
  6. 6. Developments in the agri food domain 6 • Standard messages : - e-CERT SPS phyto and veterinarian sanitairy certificate G2G - e-Daplos, e-CROP, agro product information message B2B - Animal identification and e-Animal passport G2G - Dispatch advice (batch number, identification) B2B - e-LAB laboratory observations report B2B, B2G, G2G - FLUX Fishing monitoring and reporting G2G - Track and Trace Animals (and Plant and Product) B2B, B2G, G2G • Identification - Party (farmer, farm, trader, cooperative) - Product (individual, batch, lot ) - Location (farmsite, storage, field, crop field, treatment zone, harvest zone) • Coding - Product (EPC, Codex Alimentarius) - Location and Party identification (GLN, Blue Number, ) - Production proces • Certification - Authority, NGO, Private business (GlobalGap, Organic , Sustainable, CITES, Standard Maps ITC … ) • Integration of domains - e-Invoicing (in fish, cutflowers, fresh fruits and vegetables) - Transport and location (GN codes – GS1) - CITES e-permits - WCO datamodel III and IV - Production, Trade and Retail
  7. 7. Example for a field Identification Accuracy
  8. 8. farmer and farm identification Blue Numbers and GLN (Point) Identifier + coordinate • Geographical features farm, field, farm yard, building • Agriculture organisation farmer, cooperative
  9. 9. innovation • Product and Proces • The Information Framework
  10. 10. E-DAPLOS E-CROP E-CROP E-CROP E-CROP E-CROP
  11. 11. Compliance Architecture
  12. 12. Exchange of Information Standard Messages: • eLAB • eCROP • T&T animals, animal products, plant products • eCert
  13. 13. E-LAB: 3 messages • Request for laboratory observations • Report laboratoy observations • Acknowledge emssage Practised for • Residues on fruit and vegetables • Mineral (fertiliser) management • Soil sample observation results • Dairy farming • Animal health, animal products
  14. 14. e-CROP (fresh) message • Crop specifications ▪ Start date, harvest date, variety, production, location • Data about treatment ▪ Fertilizers ▪ Pesticides ▪ Use of energy and water • Data about labour • Certificates (Global GAP, MPS, SPS E-Cert)
  15. 15. e-CROP (arable) farming message • Advice support • Cropping scheme • Farm operations • Crop report
  16. 16. Track and Trace • Event driven Event: modification of location, product, proces, transport or party • Recording of events • Retrieving information about events. • Based on - Who, What, Why, Where, When - generic level ISO / IEC 19987 (EPCIS) - detailed level for animal,plant and product details
  17. 17. e-CERT Electronic certificates • SPS certificate (animal, animal product and plant product) • Other certificates (CITES, private standards)
  18. 18. Data exchange  data sharing • data > data set > data stock • useful > usable > affordable • private > open > linked open data • quality, owner access and user maintenance rights
  19. 19. The compliance platform 23 Data Source QualityUse Platform Traffic Match- making Tools Compliance Evidence AuditStandards Market access
  20. 20. Digital compliance: business proces 24 Storage Exchange Analysis Entry Data Platform Compliance
  21. 21. Farm Digital Initiative 25 • Simplify the compliance proces for growner and - Digitale compliance data - Re-use of data (cross platform) - Digital auditing (compliance assessment) • Simplify data exchange for supply chain partners - Structured /standardized data - Open Source Information Architecture > Shared standard and protocol > Data model
  22. 22. Setting the scene of Farm Digital 26 • Arable farming (potatoes, corn, sugar beets, onions etc.) • NL: >12,000 specialised arable farming companies. And around 20,000 livestock companies who are producing arable crops also. • Arable farmers must comply with requirements (food safety, sustainability) of customers such as cooperatives, food industry, retailers. • Each farmer has at least 2-3 different certificates (e.g. GlobalGAP)  so audits by several different independent, certified inspectors. • Compliance data provided by farmers  digitalised  collected on online ‘platform’. • Platform provides the compliance data to different inspectors. • Global figures? ± 500.000.000 farmers (male – female)
  23. 23. Transparancy food safety sustainability certification market access benchmarking policy development
  24. 24. http://www.unece.org/cefact/brs/brs_index.html http://www.unece.org/cefact/xml_schemas/index http://www.agroconnect.nl/Default.aspx?tabid=1765 http://www.farmdigital.nl http://www.standardsmap.org frans.vandiepen@rvo.nl

×