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GS1 standards and Blockchain Technology for Traceability
in Agriculture and Seafood Industries
“Identify, Capture, Share, Use, and Imagine”
Daeyoung Kim
October 31, 2019
Professor, School of Computing, KAIST
Director, Auto-ID Labs, KAIST
• kimd@kaist.ac.kr, http://oliot.org, http://autoidlab.kaist.ac.kr, http://resl.kaist.ac.kr, http://autoidlabs.org, http://gs1.org
Food and Drug Traceability Initiatives in
China/Japan/Korea
© Auto-ID Lab Korea / KAIST
Slide 2
3. If agriculture is to continue to
feed the world, it needs to become
more like manufacturing, says
Geoffrey Carr.
1. Produce
more food
to feed a
growing
population
with a
smaller
rural labor
force
2. 안전한 먹거리 보장
Data driven Farming
The 4th Industrial Revolution
2. Achieve
food safety
for public
health
© Auto-ID Lab Korea / KAIST
Slide 3
© Auto-ID Lab Korea / KAIST
Slide 4
© Auto-ID Lab Korea / KAIST
Slide 5
Journey from Seed to Table
Global Food EcoSystem
(More Food, Safety, Data-driven)
UN Global Compact
GS1 GLN for Farms
Collect Data from Farms
Worldwide
Solve starvation, Food Safety
The Sustainable Rice Platform (SRP) is a multi-
stakeholder platform established in December 2011. The
SRP is co-convened by UN Environment and
the International Rice Research Institute (IRRI) to promote
resource efficiency and sustainability in trade flows,
production and consumption operations, and supply
chains in the global rice sector.
GS1 GLN for Farms
© Auto-ID Lab Korea / KAIST
Slide 7
GS1, The Global Language of Business
GS1 is the non-profit organization which
• Provides the common foundation (standards) for business by uniquely identifying, accurately capturing, and
automatically sharing vital information about products, locations, and assets
• Enables visibility through the exchange of authentic data
• Empowers business to grow and to improve efficiency, safety, security, and sustainability, Using
• Consists of 114 Member Organizations and 170 countries, and more than 2 millions companies and organizations
• In 1999, the Internet of Things term is coined by Kevin Ashton of Auto-ID Labs
© Auto-ID Lab Korea / KAIST
Slide 8
GS1 Company Prefix for Identifying Companies
and Organizations
• Globally unique GS1 company prefixes are allocated to each company
and organization
• GS1 Company Prefix = GS1 Prefix + Company No
• With GS1 Company Prefix, companies and organizations could use
various GS1 Keys such as GTIN, GRAI, GIAI, GLN, GSRN, etc
GS1 ID Key
Company Prefix
X X (X)* X X X (X)* X X X X X (X)*
GS1 Prefix
Assigned by Global
GS1 Office
* length: 2-3
Company No.
Assigned by GS1 MO
* length: variable
Reference No.
Class level number for
Internet objects,
products, people,
places, and services
* length: variableX X X X X X X X X (X)*
Serial / Extension No.
Instance level number for Internet objects,
products, people, places, and services
* length: variable
• A GTIN is a unique number that identifies any pre-defined trade item
© Auto-ID Lab Korea / KAIST
Slide 9
GS1 ID Types and Usage Scenario
(Agriculture Industries)
Product Code (GTIN, 8809045540005) Assets for Rent (GRAI) Assets (GIAI)
Smart farms, retail stores (GLN) Certificates (GDTI)Customers and Employees (GSRN)
© Auto-ID Lab Korea / KAIST
Slide 10
Parts and Components (CPID)
Books and Manuals(ISBN)
Coupons (GCN)
Shippings (GSIN) Consignments (GINC)
Pallets and Boxes(GRAI, SSCC)
GS1 ID Types and Usage Scenario
(Agriculture Industries)
© Auto-ID Lab Korea / KAIST
Slide 11https://www.gs1.org/how-gdsn-works
- The Global Data Synchronisation Network (GDSN) enables
trading partners to globally share trusted product data.
This automatic and efficient exchange helps in meeting the
demand of today's data-hungry consumers. (31 Data Pools)
• GDSN, GS1 Source, GS1 Registry Platform(Cloud)
GS1 GDSN / Global Registry Attributes
© Auto-ID Lab Korea / KAIST
Slide 12
EPC Information Service (EPCIS)
• EPCIS is GS1 Interface and System for
sharing data generated from every day object
© Auto-ID Lab Korea / KAIST
Slide 13
Key additions in EPCIS 2.0 (will be released in 2020)
REST API BindingSensor Data Extension
Party Certification JSON-LD
© Auto-ID Lab Korea / KAIST
Slide 14
Factory
Track and Trace Products
Traceability
© Auto-ID Lab Korea / KAIST
Slide 15
GTS (Global Traceability Standards) 2.0
GTS 2.0 Key Components
GTS 2.0 : (~ Sep. 2017)
EPCIS Cross Sector : (Mar. 2018 ~ )
Discovery Service : (2019 ~ )
GTS add-on: (2019 ~ )
1
2
3
4
© Auto-ID Lab Korea / KAIST
Slide 16
GS1 Blockchains Model (On-chain/off-chain)
© Auto-ID Lab Korea / KAIST
Slide 17
GS1 based commercial Blockchain
platforms
© Auto-ID Lab Korea / KAIST
Slide 18
GS1 Services Provisioning
GS1 Digital Link GS1 ONS 2.0 (Object Name Service)
GS1 Scanner Applications (Android,
ios)
link.oliot.kr
(GS1 Digital Link + GS1 ONS)
Digital Link encoded in QR, Data
Matrix, etc.
GS1 codes encoded in QR code, Barcode,
Datamatrix, RFID, Bluetooth Beacon,
WiFi AP, Video, and etc.
Digital Link to ONS hub encoded in QR,
Data Matrix, etc.
Provide services from multiple
organizations
ONS Application ONS Client
ONS Peer Roots
Federated ONS Infrastructure
(2)
(4)
(6) (7)GS1 ID keys
AUS FQDN
FQDN Query
NAPTR Records
(3)
GS1 ID key AUS
(1)
Local caching
nameserver
(5)
AUS
(4)
Service list
Service Server
(9)
(8)
Server for
Service Type
http://link.oliot.kr/414/880002
6920137?linkType=ons
© Auto-ID Lab Korea / KAIST
Slide 19
GS1 ONS & Digital Link Connectors
• Service Registration, Discovery, and Access through Connectors.
‐ Auto-ID Labs, KAIST provides Bluetooth Beacon, WiFi AP, Image, RFID, Video, and etc.
ONS Application ONS Client(2)
AUS FQDN
(3)
GS1 ID key AUS
(1)
(5)
(4)
Service list
(8)
Serve
Service
ONS Application(2)
GS1 ID keys FQD
(3)
GS1 ID key AUS
(1)
A
Serv
(9)
GS1beacon data
(GTIN:28800001000137)
0x1A3185D442C90x02 0x01 0x1a
AD
Len
AD
Type
LE General
Discoverable
0x14
AD Flags
(3 bytes)
0xFF 0xabcd 0x0001
AD
Len
Application
Identifier (GTIN)
Manufacturer specific data
(20 bytes)
0x1A3185D442C70x1F43
GS1Beacon structure 1
(8 bytes)
GS1Beacon structure 2
(8 bytes)
00...000x02 0x0A
AD
Len
0x00
AD Tx power
(3 bytes)
AD
Type
AD
Type
Tx power
0 dB
GS1 company
prefix (temperal)
Application
Identifier (GTIN)
Remains
(5 bytes)
GS1beacon data
(GTIN:28800001000135)
Smart City Resources
Energy Water Transportation Public Welfare Education Environment
Service Points
Barcodes Digital Link Data matrix BLE Beacon WiFi AP
Mapping with GS1 ID (GTIN, GLN, GRAI, GIAI, GSRN)
ONS Client
Smart City PlatformsONS Server
ONS Peer
Roots
Local ONS
Camera Bluetooth
RFID
RFID/NFC WiFi
ONS
App.
GS1 ID
Extract
AUS
Conversion
Country
Language
ONS
Client
ONS
Qeury
FQDN
Conversion
ONSCloud
ONS Query
NAPTR
Records
Service View
ONS QueryNAPTR Records
Service Access
URLServiceServiceService Information
Service Detail
Service Page
Service Manager
Record
Manager
Service Type
Manager
Access
Control
BusInfo.SystemSupplyChainSmartCampus
...
...
RegisterService
DataCenterDataCenterDataCenter
DataAnalysisDataAnalysisDataAnalysis
DataCollection
Food
Service
Traceabi
lity
Station
Service
Line
Service
Shuttle
Service
Library
Service
ServiceType ID
ServiceType ID
ServiceType
XML
ServiceType ID
Domain
Domain
Domain
NAPTR Record
NAPTR Record
NAPTR Record
Mapping
Video
© Auto-ID Lab Korea / KAIST
Slide 20
BlockONS: Blockchain based ONS
The BlockONS focus on Security, Transparency of ONS service records considering
Scalability and Strong fault tolerance for sustainable ONS service.
© Auto-ID Lab Korea / KAIST
Slide 21
• Oliot Open Source Project
GS1 EPCglobal Standards Implementation
• GS1 Source
• Pedigree
• Traceability & Recall
• ONS
• DS
• EPCIS
• F&C
• IoT connectivity Layer, etc.
Oliot Open Source Project (KAIST)
Apache License
© Auto-ID Lab Korea / KAIST
Slide 22
6 Continents, 103 countries, 1116 Cities
11651 Organizations/Companies/Individuals since 2017
2019.09.19.
June 25, 2014 (Oliot 1.0)
2016 (Oliot 1.2)
2Q, 2020 expected (Oliot
2.0/EPCIS 2.0, CBV2.0, etc.))
© Auto-ID Lab Korea / KAIST
Slide 23
GS1 Food Service Project in Korea
• Development of agro-livestock cloud and application service for balanced
production, transparent distribution and safe consumption based on GS1
• From Mar. 2015 – Feb. 2018
• Adoption of GS1 Standards,
CBV, EPCIS, ONS, GS1 Source as
Korean National Standards
+1200
Farms
Logistics
center
Factory
Customer
Market
Restaurant
School
Internet Mall
Wanju Local Foods
Cooperative Federation
2015.3 – 2018.2
© Auto-ID Lab Korea / KAIST
Slide 25
Wanju Local Food Co-op Community
© Auto-ID Lab Korea / KAIST
Slide 27
Korean TTA
adopts GS1 standards
협동조합을 위한
가축 이력 사설 인증 방법
(TTAK.KO-10.0938)
-> GS1 Pedigree
환경 모니터링 센서정보의
표준 스키마 및 이벤트 구조
(TTAK.KO-10.0939)
-> GS1 EPCIS for sensor
농축산물 식품 메타데이터 모델링
(TTAK.KO-10.0940)
-> GS1 SOURCE
농축산물 서비스 탐색 구조
TTAK.KO-10.0942
-> GS1 ONS
EPCIS 기반 농축산물
이력 관리 시스템 구축 지침서
-> GTS, EPCIS for Traceability
농축산물 GS1 표준 바코드의
레이블 출력 지침서
-> GS1 Barcode
농식품 유통 오픈 데이터를
위한 핵심 비즈니스 지침서
-> GS1 CBV
스마트축사 센서데이터에
대한 EPCIS 이벤트 스키마설계 지침서
-> EPCIS for Smart Farm Data
2016 2017
© Auto-ID Lab Korea / KAIST
Slide 28
Join Internet of Food
and Farm (IoF2020)
2017-2020
Wanju Local Food
Traceability System
Food Safety & Global Traceability Testbed Establishment with
Auto-ID Labs, Fudan in China
Reached agreement, Interoperability Test in 2017
GTIN
(02) 880 0123 454312
GTIN
(02) 690 0152 116568
FQDN
0.1.3.4.5.4.3.2.1.0.0.8.8.
FQDN
0.6.5.6.1.1.2.5.1.0.0.9.6.
AUS
ko | kr | gtin |
AUS
ko | kr | gtin |
Sustainable Development
With Collaborations
16 countries 71 partners
FARM MACHINE
INTEROPERABILITY
PRECISION CROP
MANAGEMENT
WITHIN-FIELD
MANAGEMENT ZONING
SOYA PROTEIN
MANAEMENT
CHAIN INTEGRATED
GREEN HOUSE
PRODUCTION
ENHANCED QUALITY
CERTIFICATION SYSTEM
CITY FARMING
FOR LEAFY VEGETABLES
ADDED-VALUE WEEDING
DATA
AUTOMATED OLIVE
CHAIN
BIG WINE
OPTIMIZATION
FRESH TABLE GRAPES
CHAIN
INTELLIGENT FRUIT
LOGISTICS
GRAZING COW
MONITOR – HAPPY COW
REMOTE MILK
QUALITY
MEAT TRASNPARENCY AND
TRACEABILITY
PIG FARM MANAGEMENT POULTRY CHAIN
MANAGEMENT
© Auto-ID Lab Korea / KAIST
Slide 32
Sematic Interoperability of EPCIS and FIWARE:
The case of transparency in meat supply chains
Data sharing cooperation with The Institute for Agricultural
and Fisheries Research(ILVO)
Together with Wageningen, GS1 German, EU EECC, KAIST
Who comes to the drinking
system, when, how long
Flow meter: measures how
much water consumed
HFRFIDantenna
HF RFID antenna
Who comes to the feeder, when, how
long: Not how much feed intake
SGTIN
Animal #A
SGTIN
Animal #B
SGTIN
Animal #C
SGTIN
Animal #D
SGLN
PEN #A
SGTIN
Animal #A
SGTIN
Animal #B
SGTIN
Animal #C
SGTIN
Animal #D
SGLN
PEN #B
BARN #A
SGLN
SGLN
PEN #A
SGLN
PEN #B
BARN #A
SGLN
LGTIN
Group #A of
a number of
Animals
LGTIN
Group #B of
a number of
Animals
GLN
Farmer #A
© Auto-ID Lab Korea / KAIST
Slide 33
Sematic Interoperability of EPCIS and FIWARE:
The case of transparency in meat supply chains
Farm
farmId
address
name
ownerCom
pany
hasFarmId
Building
Is-made-by
pen
has
Pig
contains
Slaughterhouse
buildingId
name
hasBuildingId
farmId
temperature
Slaughtered-in
name
address
slaughterhouseId
SlaughteredPig
Slaughtered
penId
lastUpdate
buildingId
temperature
humidity
luminosity
waterFlow
foodFlow
pigID
penId
serialNumber
lastUpdate
weight
totalConsumedWater
totalConsumedFood
slaughterhouseId
lastUpdate
serialNumber
lastSlaughteredPig
hasPigId
hasPenId
hasLast
Update
hasWeight
hasTotalConsu
medWater
hasTotalConsu
medFood
hasPenId
hasLastUpdate
hasBuildingId
hasTemprature
hasHumidity
hasLuminosity
hasWat
erFlow
hasFoodFlow
Fig:- Pork Farming Ontology Model: is use
d to fully represent information captured in a specific do
main. It can be used to provide snapshot interface for rea
l time data access.
Fig:- Pork Event Flow
Model: In order to fully detect
and capture all the necessary
events, general event flow model
needs to be designed which simpl
ifies event processing and
management. It provides data
with business context .
Fig:- Semantic Interoperability
: data coming from ontology based IoT
platforms (FIWARE) are integrated
with other event based capturing
platforms to generate full general event
flow. This harmonizes events-based
data transparency coming from multiple
IoT platforms.
Birth ADD Animal
Sloughter Death
Insemination Adoption Pen-Up Growth Vet
Shipping
Receiving
Alive
Dead
Alive
Slaughter
Dead or euthanasia
© Auto-ID Lab Korea / KAIST
Slide 35
The GDST’s main goal:
Applied voluntary industry standards
Challenges Facing the Seafood Industry
OVERFISHING: Seafood species are being caught faster than they can be
replenished in fisheries around the world.
SEAFOOD FRAUD: When seafood does arrive to market, there are
questions about whether what is sold or served is the same as reported.
SLAVERY: Human trafficking and slavery at sea have now been recognized
as severe and ongoing problems in some major fisheries.
ILLEGAL FISHING: 1,000s of fishers ignore the fishery rules they are
subject to or choose to operate outside of the law entirely.
The Solution:
Governance, Accountability, Supply Chain
Management (and Risk Reduction) based
on access to reliable information
© Auto-ID Lab Korea / KAIST
Slide 38
WWF-IFT Collaboration History
• 2013 – WEF Global Agenda Council on Oceans
--> traceability identified as a key to sustainable management of oceans, WEF-GAC calls for
industry-driven, global framework for seafood traceability
• 2015 – Expert Panel on Legal and Traceable Wild Fish Products
--> WWF, GFTC, Metro, others issue public call for industry-driven architecture for interoperab
le seafood traceability
• 2015 – Gordon & Betty Moore Foundation funds WWF & GFTC
--> start of work to launch the Global Dialogue on Seafood Traceability
• 2016 – 2020 (and beyond) -- GDST Organized, Up and Running
--> organizing & facilitating GDST, providing key technical inputs
© Auto-ID Lab Korea / KAIST
Slide 39
Global Dialogue
SeaBOS Endorsement
Sustainable Supply Chain Initiative (CGF-GSSI) – active coordination with CGF
secretariat and leading companies
“Tuna Alliance” (UK and EU retailers) for implementation of the WEF Tuna
Declaration
GS1 – GDST invited to join GS1 Mission Specific Working Group on EPCIS & CBV,
and participated in “Industry and Standards” conference (Dublin, Sept 2018)
MSC/ASC – GDST invited into MSC Product Provenance Project, ASC part of
technical expert team of the farmed Task Group.
SALT - multi-stakeholder forum to facilitate knowledge sharing and cooperation
FAO – GDST participating in FAO-lead traceability workshops in Shanghai and
Morocco.
SeaBOS – publicly endorsed GDST in CEO statement, Tokyo, in Sept 2018.
GDST is in active liaison with other
relevant industry initiatives
GS1US
GS1 Ireland
GS1 Denmark
IFFO RS, Ltd.
SCS Global Services
SGS
Saltwater Inc.
Beijer Institute of Ecological Econo
mics
Food Marketing Research and Info
Ctr
Massachusetts Institute of Technol
ogy
Auto-ID Labs, KAIST
Fiwshell Consulting
GR Japan K.K.
Horwitz & Co LLC
MRAG Ltd.
Ocean Outcomes
Flen Consulting
Springboard Partners
Standard / Certifications (7)
Consulting firms (7)
Research Institutes (6)
Governmental entities (8)
Japan Fisheries Research and Educ
ation Agency
NOAA
CCAMLR
USAID Oceans
FAO
Australian Fisheries Management A
uthority
CTI-CFF
Ministry of Marine Affairs and Fishe
ries of Indonesia
DAG Membership (99)
1967
ABALOBI
Aglive
Ashored Innovations
Catch Technology Limited
Earthtwine
Fisherman App
Food LogiQ
fTrace
Legit Fish
Odaku Online Services Private
Limited
Origin Trail
Plenumsoft Marina
Project Provenance
Bluesensus
Suzhou Joann Co., Ltd
SafeTraces
China Blue Sustainability Institute
Fair Trade USA
Fairagora
FishChoice
FishWise
Green Catch Global
Index Initiative
International Justice Foundation
ISSF
MSC
MDPI
Monterey Bay Aquarium
Oceana
Oceana Canada
Pew Trusts
SALT
SmartFish Rescate de Valor, AC
Stanford Center for Ocean Solutions
Sustainable Fisheries Partnership
UNIDO SMART-Fish Indonesia Programm
e
Global Seafood Assurances
SeaPact
Foodlog
International Pole & Line Foundation
iRaishrimp S.L.
World Ocean Observatory
NSF International
Authentication Solution Providers’ Associa
tion
NGOs (30) Tech vendors (37)
Trace Register
Tuna Solutions
Vericatch
Seafood Commons
Assent Compliance
DeltaTrak
IdentiGEN
CCIC JIANGSU TRACEABILITY
TECHNOLOGY SERVICE CO.,LT
D
Zest Labs
Avery Dennison
OpenSC
Ocean Executive
Resiliensea Group
SmartCatch
ThisFish
Foods Connected Ltd
Authentication Solution
Providers’ Association
Primority Ltd
Streamr AG
Akuun Consulting Mexico
*AsofSept.11,2019
Fluree DB
Ripe.io
Atato Co., Ltd.
Request Network
Blockchain (4)
WG 1
(KDEs)
Aquaculture Task Gro
up
Asia-Pacific
Working Groups
Europe
Working Groups
WG 2
(Interoperable
data exchange)
WG 3
(Regulations)
N. Amer.
Working Groups
Social KDEs Task Gro
up
formal GDST outputs
Structure of the Dialogue
Global Aquaculture
Summit
(Zhuhai, May 2019)
GS1 Connect
(Denver, June
2019)
SeaWeb
Summit
(Bangkok, June
2019)
NASF Annual Conf
(Bergen, March 2019)
GS1
Standards
(Dublin, Sept.
2018)
IFT Annual Conf
(New Orleans, June
2019)
Seafood Expo Global
(Brussels, May 2019)
Seafood Expo
North America
(Boston, March 2019)
London
Bali
Milan
Dusseldorf
Tokyo
Seoul
Grimbsy
Hong Kong
Austin
= Expos & Conferences
= Bilateral Company Visits
GDST on the ground around the world
(showing just the past 9 months)
SALT + SAFET +
Hackathon
(Bangkok, February 2019)
FAO Int’l Seminar on
Seafood Traceability
(Shanghai, Nov. 2018)
© Auto-ID Lab Korea / KAIST
Slide 46
Key Data Element (KDE) Alignment
• Defining WHAT data is
needed in WHICH formats
• Task groups divided across
three areas
• Delivering a Basic Universal
List of KDEs for seafood
• Akin to Core Business
Vocabulary (CBV) with EPCIS
Wild-Caught
Aquaculture (Farmed)
Social / Labor
© Auto-ID Lab Korea / KAIST
Slide 47
Pilots to date
• 3 initial pilots across
geographies, product types
and harvest methods
• Expanding into new
geographies, species and
product types
• Confirming applicability of
the standard / preparing
members for implementation
Canned / Wild-Caught Tuna:
Thailand to USA
Frozen / Farmed Shrimp:
Hatchery to Processor
Fresh / Farmed Salmon:
Hatchery to Hong Kong
Export
© Auto-ID Lab Korea / KAIST
Slide 48
Pilot Locations
Pilot participant
location
Pilot Methodology
COLLECT HISTORICAL DATA: Using Excel templates, pilot participants
communicate historical Key Data Elements (KDEs) of supply chain flow
GDST TEAM CONVERTS TO EPCIS/XML: GDST Secretariat converts the
KDEs / CTEs into XML files in EPCIS formatting
EXTERNAL TESTING: Share test file(s) with existing EPCIS platform of
GDST member retailers for external validation of results
VALIDATE EPCIS: Utilize Visibility Data Workbench to test the XML files
conformity to the EPCIS standard and run test queries
PROCESS FLOW MAP: Graphically describe the critical tracking events
(CTEs) of the seafood supply chain flow
Example Process Flow: Canned Tuna
Port
Canner
Customer 1
Vessel
Loin
Processor
Canner
Customer 2
Customer 3
Customer 4
Customer 5
Customer 6
Example Event Flow: Canned Tuna
V3
First Sale
V3
Pack into
Cases
With GS1-128
V1
Catch
Loin
Processor
Canner
Vessel
Owner
V4
Aggregate
Cases
Onto Pallets
With SSCC
V5
Ship Pallets
(Send ASN)
Retailer
Restauran
t
V7
Unpack Pallets
V8
Produce Cases of
Canned Tuna
V9
Pack Cases onto
Pallets
V10
Ship Pallets
(Send ASN)
V11
Receive Pallets
At DC
(& ASN)
V12
Unpack Cases
from Pallets
V13
Receive Cases
at Stores
V14 Sell Retail
Labeled
Products
V15 Dispose of
Retail Labeled
Products
V16
Receive Pallets
At DC
(& ASN)
V17 Unpack
Cases from
Pallets
V18 Receive
Cases at Stores
V19 Consume
Products
V20 Dispose of
Products
V6
Receive Pallets
V2
Unload
V4
Process Into
Loins
Create EPCIS Event XML File Manually
and Share to Pilot Retailer (via email)
Example Retail Product Barcode
GTIN-14: 1 0048000 63267 5
EPC: urn:epc:class:lgtin:0048000.163267. 8KD1DS64N
This barcode is scanned at production & packing onto pallet.
GTIN-12 (UPC): 0 48000 63267 8
GTIN-14: 0 0048000 63267 8
This barcode is scanned at retail Point of Sale
Product is put in a case for shipment (see below)
Example Case Label with a GS1-128
Human Readable Can Code: 8KD1DS64N
© Auto-ID Lab Korea / KAIST
Slide 54
Asks to GS1 Member Organizations
• Share about this work with your MO CEO, leadership team & colleague(s) responsible
for traceability initiatives
• Help us to identify the person within your MO who would best serve as a primary
contact with you
• To learn more
• See us after the meeting
• Please also share our contact information with the best person at your MO so we can continue
to keep you updated. Nathan Droesch Nathan.Droesch@wwf.de
• Join the Dialogue Advisory Group https://traceability-dialogue.org
• Other potential collaboration opportunities
• Are you currently working on a local seafood industry traceability initiative? Let’s discuss further!
• Invitation for GS1 MO staff to participate in GDST pilots
• Share with us local opportunities for MO-hosted seafood and traceability events
• Do you have members who would be interested in the GDST?
© Auto-ID Lab Korea / KAIST
Slide 55
Global Dialogue Trackathon
https://traceability-dialogue.org/gdst-news-2/gdst-seafood-traceability-hackathon-2/?fbclid=IwAR3hE9UOjX1PRictBwY-LtsNk8W-Pdp-
lrvWZKy5id75aouk9rBXtjt3IoE
Nate, Thomas, Neil, and Susan allowed me to share the GDST slides for the seminar. Thank you.
GS1 standards and Blockchain Technology for Traceability in Agriculture and Seafood Industries

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GS1 standards and Blockchain Technology for Traceability in Agriculture and Seafood Industries

  • 1. GS1 standards and Blockchain Technology for Traceability in Agriculture and Seafood Industries “Identify, Capture, Share, Use, and Imagine” Daeyoung Kim October 31, 2019 Professor, School of Computing, KAIST Director, Auto-ID Labs, KAIST • kimd@kaist.ac.kr, http://oliot.org, http://autoidlab.kaist.ac.kr, http://resl.kaist.ac.kr, http://autoidlabs.org, http://gs1.org Food and Drug Traceability Initiatives in China/Japan/Korea
  • 2. © Auto-ID Lab Korea / KAIST Slide 2 3. If agriculture is to continue to feed the world, it needs to become more like manufacturing, says Geoffrey Carr. 1. Produce more food to feed a growing population with a smaller rural labor force 2. 안전한 먹거리 보장 Data driven Farming The 4th Industrial Revolution 2. Achieve food safety for public health
  • 3. © Auto-ID Lab Korea / KAIST Slide 3
  • 4. © Auto-ID Lab Korea / KAIST Slide 4
  • 5. © Auto-ID Lab Korea / KAIST Slide 5 Journey from Seed to Table Global Food EcoSystem (More Food, Safety, Data-driven)
  • 6. UN Global Compact GS1 GLN for Farms Collect Data from Farms Worldwide Solve starvation, Food Safety The Sustainable Rice Platform (SRP) is a multi- stakeholder platform established in December 2011. The SRP is co-convened by UN Environment and the International Rice Research Institute (IRRI) to promote resource efficiency and sustainability in trade flows, production and consumption operations, and supply chains in the global rice sector. GS1 GLN for Farms
  • 7. © Auto-ID Lab Korea / KAIST Slide 7 GS1, The Global Language of Business GS1 is the non-profit organization which • Provides the common foundation (standards) for business by uniquely identifying, accurately capturing, and automatically sharing vital information about products, locations, and assets • Enables visibility through the exchange of authentic data • Empowers business to grow and to improve efficiency, safety, security, and sustainability, Using • Consists of 114 Member Organizations and 170 countries, and more than 2 millions companies and organizations • In 1999, the Internet of Things term is coined by Kevin Ashton of Auto-ID Labs
  • 8. © Auto-ID Lab Korea / KAIST Slide 8 GS1 Company Prefix for Identifying Companies and Organizations • Globally unique GS1 company prefixes are allocated to each company and organization • GS1 Company Prefix = GS1 Prefix + Company No • With GS1 Company Prefix, companies and organizations could use various GS1 Keys such as GTIN, GRAI, GIAI, GLN, GSRN, etc GS1 ID Key Company Prefix X X (X)* X X X (X)* X X X X X (X)* GS1 Prefix Assigned by Global GS1 Office * length: 2-3 Company No. Assigned by GS1 MO * length: variable Reference No. Class level number for Internet objects, products, people, places, and services * length: variableX X X X X X X X X (X)* Serial / Extension No. Instance level number for Internet objects, products, people, places, and services * length: variable • A GTIN is a unique number that identifies any pre-defined trade item
  • 9. © Auto-ID Lab Korea / KAIST Slide 9 GS1 ID Types and Usage Scenario (Agriculture Industries) Product Code (GTIN, 8809045540005) Assets for Rent (GRAI) Assets (GIAI) Smart farms, retail stores (GLN) Certificates (GDTI)Customers and Employees (GSRN)
  • 10. © Auto-ID Lab Korea / KAIST Slide 10 Parts and Components (CPID) Books and Manuals(ISBN) Coupons (GCN) Shippings (GSIN) Consignments (GINC) Pallets and Boxes(GRAI, SSCC) GS1 ID Types and Usage Scenario (Agriculture Industries)
  • 11. © Auto-ID Lab Korea / KAIST Slide 11https://www.gs1.org/how-gdsn-works - The Global Data Synchronisation Network (GDSN) enables trading partners to globally share trusted product data. This automatic and efficient exchange helps in meeting the demand of today's data-hungry consumers. (31 Data Pools) • GDSN, GS1 Source, GS1 Registry Platform(Cloud) GS1 GDSN / Global Registry Attributes
  • 12. © Auto-ID Lab Korea / KAIST Slide 12 EPC Information Service (EPCIS) • EPCIS is GS1 Interface and System for sharing data generated from every day object
  • 13. © Auto-ID Lab Korea / KAIST Slide 13 Key additions in EPCIS 2.0 (will be released in 2020) REST API BindingSensor Data Extension Party Certification JSON-LD
  • 14. © Auto-ID Lab Korea / KAIST Slide 14 Factory Track and Trace Products Traceability
  • 15. © Auto-ID Lab Korea / KAIST Slide 15 GTS (Global Traceability Standards) 2.0 GTS 2.0 Key Components GTS 2.0 : (~ Sep. 2017) EPCIS Cross Sector : (Mar. 2018 ~ ) Discovery Service : (2019 ~ ) GTS add-on: (2019 ~ ) 1 2 3 4
  • 16. © Auto-ID Lab Korea / KAIST Slide 16 GS1 Blockchains Model (On-chain/off-chain)
  • 17. © Auto-ID Lab Korea / KAIST Slide 17 GS1 based commercial Blockchain platforms
  • 18. © Auto-ID Lab Korea / KAIST Slide 18 GS1 Services Provisioning GS1 Digital Link GS1 ONS 2.0 (Object Name Service) GS1 Scanner Applications (Android, ios) link.oliot.kr (GS1 Digital Link + GS1 ONS) Digital Link encoded in QR, Data Matrix, etc. GS1 codes encoded in QR code, Barcode, Datamatrix, RFID, Bluetooth Beacon, WiFi AP, Video, and etc. Digital Link to ONS hub encoded in QR, Data Matrix, etc. Provide services from multiple organizations ONS Application ONS Client ONS Peer Roots Federated ONS Infrastructure (2) (4) (6) (7)GS1 ID keys AUS FQDN FQDN Query NAPTR Records (3) GS1 ID key AUS (1) Local caching nameserver (5) AUS (4) Service list Service Server (9) (8) Server for Service Type http://link.oliot.kr/414/880002 6920137?linkType=ons
  • 19. © Auto-ID Lab Korea / KAIST Slide 19 GS1 ONS & Digital Link Connectors • Service Registration, Discovery, and Access through Connectors. ‐ Auto-ID Labs, KAIST provides Bluetooth Beacon, WiFi AP, Image, RFID, Video, and etc. ONS Application ONS Client(2) AUS FQDN (3) GS1 ID key AUS (1) (5) (4) Service list (8) Serve Service ONS Application(2) GS1 ID keys FQD (3) GS1 ID key AUS (1) A Serv (9) GS1beacon data (GTIN:28800001000137) 0x1A3185D442C90x02 0x01 0x1a AD Len AD Type LE General Discoverable 0x14 AD Flags (3 bytes) 0xFF 0xabcd 0x0001 AD Len Application Identifier (GTIN) Manufacturer specific data (20 bytes) 0x1A3185D442C70x1F43 GS1Beacon structure 1 (8 bytes) GS1Beacon structure 2 (8 bytes) 00...000x02 0x0A AD Len 0x00 AD Tx power (3 bytes) AD Type AD Type Tx power 0 dB GS1 company prefix (temperal) Application Identifier (GTIN) Remains (5 bytes) GS1beacon data (GTIN:28800001000135) Smart City Resources Energy Water Transportation Public Welfare Education Environment Service Points Barcodes Digital Link Data matrix BLE Beacon WiFi AP Mapping with GS1 ID (GTIN, GLN, GRAI, GIAI, GSRN) ONS Client Smart City PlatformsONS Server ONS Peer Roots Local ONS Camera Bluetooth RFID RFID/NFC WiFi ONS App. GS1 ID Extract AUS Conversion Country Language ONS Client ONS Qeury FQDN Conversion ONSCloud ONS Query NAPTR Records Service View ONS QueryNAPTR Records Service Access URLServiceServiceService Information Service Detail Service Page Service Manager Record Manager Service Type Manager Access Control BusInfo.SystemSupplyChainSmartCampus ... ... RegisterService DataCenterDataCenterDataCenter DataAnalysisDataAnalysisDataAnalysis DataCollection Food Service Traceabi lity Station Service Line Service Shuttle Service Library Service ServiceType ID ServiceType ID ServiceType XML ServiceType ID Domain Domain Domain NAPTR Record NAPTR Record NAPTR Record Mapping Video
  • 20. © Auto-ID Lab Korea / KAIST Slide 20 BlockONS: Blockchain based ONS The BlockONS focus on Security, Transparency of ONS service records considering Scalability and Strong fault tolerance for sustainable ONS service.
  • 21. © Auto-ID Lab Korea / KAIST Slide 21 • Oliot Open Source Project GS1 EPCglobal Standards Implementation • GS1 Source • Pedigree • Traceability & Recall • ONS • DS • EPCIS • F&C • IoT connectivity Layer, etc. Oliot Open Source Project (KAIST) Apache License
  • 22. © Auto-ID Lab Korea / KAIST Slide 22 6 Continents, 103 countries, 1116 Cities 11651 Organizations/Companies/Individuals since 2017 2019.09.19. June 25, 2014 (Oliot 1.0) 2016 (Oliot 1.2) 2Q, 2020 expected (Oliot 2.0/EPCIS 2.0, CBV2.0, etc.))
  • 23. © Auto-ID Lab Korea / KAIST Slide 23 GS1 Food Service Project in Korea • Development of agro-livestock cloud and application service for balanced production, transparent distribution and safe consumption based on GS1 • From Mar. 2015 – Feb. 2018 • Adoption of GS1 Standards, CBV, EPCIS, ONS, GS1 Source as Korean National Standards +1200 Farms Logistics center Factory Customer Market Restaurant School Internet Mall Wanju Local Foods Cooperative Federation
  • 25. © Auto-ID Lab Korea / KAIST Slide 25 Wanju Local Food Co-op Community
  • 26.
  • 27. © Auto-ID Lab Korea / KAIST Slide 27 Korean TTA adopts GS1 standards 협동조합을 위한 가축 이력 사설 인증 방법 (TTAK.KO-10.0938) -> GS1 Pedigree 환경 모니터링 센서정보의 표준 스키마 및 이벤트 구조 (TTAK.KO-10.0939) -> GS1 EPCIS for sensor 농축산물 식품 메타데이터 모델링 (TTAK.KO-10.0940) -> GS1 SOURCE 농축산물 서비스 탐색 구조 TTAK.KO-10.0942 -> GS1 ONS EPCIS 기반 농축산물 이력 관리 시스템 구축 지침서 -> GTS, EPCIS for Traceability 농축산물 GS1 표준 바코드의 레이블 출력 지침서 -> GS1 Barcode 농식품 유통 오픈 데이터를 위한 핵심 비즈니스 지침서 -> GS1 CBV 스마트축사 센서데이터에 대한 EPCIS 이벤트 스키마설계 지침서 -> EPCIS for Smart Farm Data 2016 2017
  • 28. © Auto-ID Lab Korea / KAIST Slide 28 Join Internet of Food and Farm (IoF2020) 2017-2020 Wanju Local Food Traceability System Food Safety & Global Traceability Testbed Establishment with Auto-ID Labs, Fudan in China Reached agreement, Interoperability Test in 2017 GTIN (02) 880 0123 454312 GTIN (02) 690 0152 116568 FQDN 0.1.3.4.5.4.3.2.1.0.0.8.8. FQDN 0.6.5.6.1.1.2.5.1.0.0.9.6. AUS ko | kr | gtin | AUS ko | kr | gtin | Sustainable Development With Collaborations
  • 29. 16 countries 71 partners
  • 30. FARM MACHINE INTEROPERABILITY PRECISION CROP MANAGEMENT WITHIN-FIELD MANAGEMENT ZONING SOYA PROTEIN MANAEMENT CHAIN INTEGRATED GREEN HOUSE PRODUCTION ENHANCED QUALITY CERTIFICATION SYSTEM CITY FARMING FOR LEAFY VEGETABLES ADDED-VALUE WEEDING DATA AUTOMATED OLIVE CHAIN
  • 31. BIG WINE OPTIMIZATION FRESH TABLE GRAPES CHAIN INTELLIGENT FRUIT LOGISTICS GRAZING COW MONITOR – HAPPY COW REMOTE MILK QUALITY MEAT TRASNPARENCY AND TRACEABILITY PIG FARM MANAGEMENT POULTRY CHAIN MANAGEMENT
  • 32. © Auto-ID Lab Korea / KAIST Slide 32 Sematic Interoperability of EPCIS and FIWARE: The case of transparency in meat supply chains Data sharing cooperation with The Institute for Agricultural and Fisheries Research(ILVO) Together with Wageningen, GS1 German, EU EECC, KAIST Who comes to the drinking system, when, how long Flow meter: measures how much water consumed HFRFIDantenna HF RFID antenna Who comes to the feeder, when, how long: Not how much feed intake SGTIN Animal #A SGTIN Animal #B SGTIN Animal #C SGTIN Animal #D SGLN PEN #A SGTIN Animal #A SGTIN Animal #B SGTIN Animal #C SGTIN Animal #D SGLN PEN #B BARN #A SGLN SGLN PEN #A SGLN PEN #B BARN #A SGLN LGTIN Group #A of a number of Animals LGTIN Group #B of a number of Animals GLN Farmer #A
  • 33. © Auto-ID Lab Korea / KAIST Slide 33 Sematic Interoperability of EPCIS and FIWARE: The case of transparency in meat supply chains Farm farmId address name ownerCom pany hasFarmId Building Is-made-by pen has Pig contains Slaughterhouse buildingId name hasBuildingId farmId temperature Slaughtered-in name address slaughterhouseId SlaughteredPig Slaughtered penId lastUpdate buildingId temperature humidity luminosity waterFlow foodFlow pigID penId serialNumber lastUpdate weight totalConsumedWater totalConsumedFood slaughterhouseId lastUpdate serialNumber lastSlaughteredPig hasPigId hasPenId hasLast Update hasWeight hasTotalConsu medWater hasTotalConsu medFood hasPenId hasLastUpdate hasBuildingId hasTemprature hasHumidity hasLuminosity hasWat erFlow hasFoodFlow Fig:- Pork Farming Ontology Model: is use d to fully represent information captured in a specific do main. It can be used to provide snapshot interface for rea l time data access. Fig:- Pork Event Flow Model: In order to fully detect and capture all the necessary events, general event flow model needs to be designed which simpl ifies event processing and management. It provides data with business context . Fig:- Semantic Interoperability : data coming from ontology based IoT platforms (FIWARE) are integrated with other event based capturing platforms to generate full general event flow. This harmonizes events-based data transparency coming from multiple IoT platforms. Birth ADD Animal Sloughter Death Insemination Adoption Pen-Up Growth Vet Shipping Receiving Alive Dead Alive Slaughter Dead or euthanasia
  • 34.
  • 35. © Auto-ID Lab Korea / KAIST Slide 35 The GDST’s main goal: Applied voluntary industry standards
  • 36. Challenges Facing the Seafood Industry OVERFISHING: Seafood species are being caught faster than they can be replenished in fisheries around the world. SEAFOOD FRAUD: When seafood does arrive to market, there are questions about whether what is sold or served is the same as reported. SLAVERY: Human trafficking and slavery at sea have now been recognized as severe and ongoing problems in some major fisheries. ILLEGAL FISHING: 1,000s of fishers ignore the fishery rules they are subject to or choose to operate outside of the law entirely.
  • 37. The Solution: Governance, Accountability, Supply Chain Management (and Risk Reduction) based on access to reliable information
  • 38. © Auto-ID Lab Korea / KAIST Slide 38 WWF-IFT Collaboration History • 2013 – WEF Global Agenda Council on Oceans --> traceability identified as a key to sustainable management of oceans, WEF-GAC calls for industry-driven, global framework for seafood traceability • 2015 – Expert Panel on Legal and Traceable Wild Fish Products --> WWF, GFTC, Metro, others issue public call for industry-driven architecture for interoperab le seafood traceability • 2015 – Gordon & Betty Moore Foundation funds WWF & GFTC --> start of work to launch the Global Dialogue on Seafood Traceability • 2016 – 2020 (and beyond) -- GDST Organized, Up and Running --> organizing & facilitating GDST, providing key technical inputs
  • 39. © Auto-ID Lab Korea / KAIST Slide 39 Global Dialogue
  • 41. Sustainable Supply Chain Initiative (CGF-GSSI) – active coordination with CGF secretariat and leading companies “Tuna Alliance” (UK and EU retailers) for implementation of the WEF Tuna Declaration GS1 – GDST invited to join GS1 Mission Specific Working Group on EPCIS & CBV, and participated in “Industry and Standards” conference (Dublin, Sept 2018) MSC/ASC – GDST invited into MSC Product Provenance Project, ASC part of technical expert team of the farmed Task Group. SALT - multi-stakeholder forum to facilitate knowledge sharing and cooperation FAO – GDST participating in FAO-lead traceability workshops in Shanghai and Morocco. SeaBOS – publicly endorsed GDST in CEO statement, Tokyo, in Sept 2018. GDST is in active liaison with other relevant industry initiatives
  • 42. GS1US GS1 Ireland GS1 Denmark IFFO RS, Ltd. SCS Global Services SGS Saltwater Inc. Beijer Institute of Ecological Econo mics Food Marketing Research and Info Ctr Massachusetts Institute of Technol ogy Auto-ID Labs, KAIST Fiwshell Consulting GR Japan K.K. Horwitz & Co LLC MRAG Ltd. Ocean Outcomes Flen Consulting Springboard Partners Standard / Certifications (7) Consulting firms (7) Research Institutes (6) Governmental entities (8) Japan Fisheries Research and Educ ation Agency NOAA CCAMLR USAID Oceans FAO Australian Fisheries Management A uthority CTI-CFF Ministry of Marine Affairs and Fishe ries of Indonesia DAG Membership (99) 1967 ABALOBI Aglive Ashored Innovations Catch Technology Limited Earthtwine Fisherman App Food LogiQ fTrace Legit Fish Odaku Online Services Private Limited Origin Trail Plenumsoft Marina Project Provenance Bluesensus Suzhou Joann Co., Ltd SafeTraces China Blue Sustainability Institute Fair Trade USA Fairagora FishChoice FishWise Green Catch Global Index Initiative International Justice Foundation ISSF MSC MDPI Monterey Bay Aquarium Oceana Oceana Canada Pew Trusts SALT SmartFish Rescate de Valor, AC Stanford Center for Ocean Solutions Sustainable Fisheries Partnership UNIDO SMART-Fish Indonesia Programm e Global Seafood Assurances SeaPact Foodlog International Pole & Line Foundation iRaishrimp S.L. World Ocean Observatory NSF International Authentication Solution Providers’ Associa tion NGOs (30) Tech vendors (37) Trace Register Tuna Solutions Vericatch Seafood Commons Assent Compliance DeltaTrak IdentiGEN CCIC JIANGSU TRACEABILITY TECHNOLOGY SERVICE CO.,LT D Zest Labs Avery Dennison OpenSC Ocean Executive Resiliensea Group SmartCatch ThisFish Foods Connected Ltd Authentication Solution Providers’ Association Primority Ltd Streamr AG Akuun Consulting Mexico *AsofSept.11,2019 Fluree DB Ripe.io Atato Co., Ltd. Request Network Blockchain (4)
  • 43. WG 1 (KDEs) Aquaculture Task Gro up Asia-Pacific Working Groups Europe Working Groups WG 2 (Interoperable data exchange) WG 3 (Regulations) N. Amer. Working Groups Social KDEs Task Gro up formal GDST outputs Structure of the Dialogue
  • 44.
  • 45. Global Aquaculture Summit (Zhuhai, May 2019) GS1 Connect (Denver, June 2019) SeaWeb Summit (Bangkok, June 2019) NASF Annual Conf (Bergen, March 2019) GS1 Standards (Dublin, Sept. 2018) IFT Annual Conf (New Orleans, June 2019) Seafood Expo Global (Brussels, May 2019) Seafood Expo North America (Boston, March 2019) London Bali Milan Dusseldorf Tokyo Seoul Grimbsy Hong Kong Austin = Expos & Conferences = Bilateral Company Visits GDST on the ground around the world (showing just the past 9 months) SALT + SAFET + Hackathon (Bangkok, February 2019) FAO Int’l Seminar on Seafood Traceability (Shanghai, Nov. 2018)
  • 46. © Auto-ID Lab Korea / KAIST Slide 46 Key Data Element (KDE) Alignment • Defining WHAT data is needed in WHICH formats • Task groups divided across three areas • Delivering a Basic Universal List of KDEs for seafood • Akin to Core Business Vocabulary (CBV) with EPCIS Wild-Caught Aquaculture (Farmed) Social / Labor
  • 47. © Auto-ID Lab Korea / KAIST Slide 47 Pilots to date • 3 initial pilots across geographies, product types and harvest methods • Expanding into new geographies, species and product types • Confirming applicability of the standard / preparing members for implementation Canned / Wild-Caught Tuna: Thailand to USA Frozen / Farmed Shrimp: Hatchery to Processor Fresh / Farmed Salmon: Hatchery to Hong Kong Export
  • 48. © Auto-ID Lab Korea / KAIST Slide 48 Pilot Locations Pilot participant location
  • 49. Pilot Methodology COLLECT HISTORICAL DATA: Using Excel templates, pilot participants communicate historical Key Data Elements (KDEs) of supply chain flow GDST TEAM CONVERTS TO EPCIS/XML: GDST Secretariat converts the KDEs / CTEs into XML files in EPCIS formatting EXTERNAL TESTING: Share test file(s) with existing EPCIS platform of GDST member retailers for external validation of results VALIDATE EPCIS: Utilize Visibility Data Workbench to test the XML files conformity to the EPCIS standard and run test queries PROCESS FLOW MAP: Graphically describe the critical tracking events (CTEs) of the seafood supply chain flow
  • 50. Example Process Flow: Canned Tuna Port Canner Customer 1 Vessel Loin Processor Canner Customer 2 Customer 3 Customer 4 Customer 5 Customer 6
  • 51. Example Event Flow: Canned Tuna V3 First Sale V3 Pack into Cases With GS1-128 V1 Catch Loin Processor Canner Vessel Owner V4 Aggregate Cases Onto Pallets With SSCC V5 Ship Pallets (Send ASN) Retailer Restauran t V7 Unpack Pallets V8 Produce Cases of Canned Tuna V9 Pack Cases onto Pallets V10 Ship Pallets (Send ASN) V11 Receive Pallets At DC (& ASN) V12 Unpack Cases from Pallets V13 Receive Cases at Stores V14 Sell Retail Labeled Products V15 Dispose of Retail Labeled Products V16 Receive Pallets At DC (& ASN) V17 Unpack Cases from Pallets V18 Receive Cases at Stores V19 Consume Products V20 Dispose of Products V6 Receive Pallets V2 Unload V4 Process Into Loins
  • 52. Create EPCIS Event XML File Manually and Share to Pilot Retailer (via email)
  • 53. Example Retail Product Barcode GTIN-14: 1 0048000 63267 5 EPC: urn:epc:class:lgtin:0048000.163267. 8KD1DS64N This barcode is scanned at production & packing onto pallet. GTIN-12 (UPC): 0 48000 63267 8 GTIN-14: 0 0048000 63267 8 This barcode is scanned at retail Point of Sale Product is put in a case for shipment (see below) Example Case Label with a GS1-128 Human Readable Can Code: 8KD1DS64N
  • 54. © Auto-ID Lab Korea / KAIST Slide 54 Asks to GS1 Member Organizations • Share about this work with your MO CEO, leadership team & colleague(s) responsible for traceability initiatives • Help us to identify the person within your MO who would best serve as a primary contact with you • To learn more • See us after the meeting • Please also share our contact information with the best person at your MO so we can continue to keep you updated. Nathan Droesch Nathan.Droesch@wwf.de • Join the Dialogue Advisory Group https://traceability-dialogue.org • Other potential collaboration opportunities • Are you currently working on a local seafood industry traceability initiative? Let’s discuss further! • Invitation for GS1 MO staff to participate in GDST pilots • Share with us local opportunities for MO-hosted seafood and traceability events • Do you have members who would be interested in the GDST?
  • 55. © Auto-ID Lab Korea / KAIST Slide 55 Global Dialogue Trackathon https://traceability-dialogue.org/gdst-news-2/gdst-seafood-traceability-hackathon-2/?fbclid=IwAR3hE9UOjX1PRictBwY-LtsNk8W-Pdp- lrvWZKy5id75aouk9rBXtjt3IoE
  • 56. Nate, Thomas, Neil, and Susan allowed me to share the GDST slides for the seminar. Thank you.