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Precision Agri-Food transparency
Walter Stiers
Walter_Stiers@be.ibm.com
PublicPrivate
Data Governance
Territory Management & Map Engine
Inputs Farm Trading Processing Distribution
Smart Irrigation
Precision Farming
& Analytics
Weather
Monitoring
Finance
Farm
Management
Drones &
Robotics
Supply Chain Compliance
Retail
Landwatcher Cultivation
Advisor
PAIRS
Weather
Advisor
Crop
Recognition
Inputs
Management
Soil
Management
Blockchain
Logistics
IoT Blockchain Watson Mobile
Agriculture Specific Components Cross-Industry Components
Web and
Application
Dev Ops Run Times
Data
Management
Solutions
Toolbox
Agri
Cloud
Client
Solution provided “aaS”
available globally
Available Agri, Finance,
Transportation, Compliance and
other tools to rapidlly build &
deploy client specific solutions
Data management layers,
feed analytical & cognitve tools,
registering historical territory
profile
Functional Components of IBM’s AgriTech Platform 3 layers that allows both
ecosystem and key clients
to benefit from IBM
technology.
Food, agriculture and industrial products are applying IoT sensors
across various aspects of their business to collect data in real-time
These	data	need	to	become	valuable	and	interpreted	within	context.
Agricultural Forecasts
Our forecast engines are built using our leading-edge model forecasting,
expertise from 200 meteorologists and related scientists, and our network
of observations, radar, and satellite assimilation and modelling capabilities.
Data in this package are tailored to meet agricultural industry needs at 500-
square- meter resolution globally.
What is it?
What does it
include?
15-day hourly forecasts for…
• Reference evapotranspiration –
forecast based on idealized
conditions
• Crop-specific reference
evapotranspiration – 103 different
crops supported, based on the %
crop maturity and crop type
specified
• Model evapotranspiration –
forecast based on actual land use
conditions
• Soil moisture/Soil temperature –
user specifies the specific depth, up
to 200 cm below the surface
15-day forecast, degree days –
Provides daily forecasts on demand of
cooling degree days, growing degree
days and heating degree days
15-day frost forecast – Provides a
daypart forecast on demand of the
likelihood of frost events
15-day forecast, watering needs
– Provides a daypart forecast on
demand of the watering need index
Location mapping services –
Identifies locations based on zip code,
geocode, city, state, region, district, and
province
The Weather Company Data Package:
Agriculture
Improving crop yield and
quality while reducing water
consumption in the vineyard
Results
Solution
Remote satellite image processing for normalized
vegetation index (NDVI)
Evapo-transpiration modeling and plant modeling to
determine irrigation schedule
Increased Yield
23%
Water Conservation
20%
Reduced
Variability
Higher Grape Quality
10%
Predictive weather
model
Weather station data
Evapo-transpiration
modeling
Control a smart
irrigation system.
Use case:
Smart Irrigation
IBM Macroscopes (PAIRS) for production & full food chain
Marketing/LogisticsAgribusiness, Finance, Insurance
Accounting and Controlling
Agricultural services
Master Data Management
PROCESSES OF THE AGRICULTURAL VALUE CHAIN
Crops Procurement
planning
Operational
Planning
Transports
planning and goods
receipt
Manage sub-
products from
sugar making
PROCESSES OF THE AGRICULTURAL CHAIN
§ BUDGET MANAGEMENT, IN TONS AND HECTARES,
OF CULTIVATIONS
§ COLLECTION AND CONSOLIDATION OF FORECASTS
FROM AGRONOMISTS
§ «WHAT IF» SCENARIOS
§ EXPLOSION OF THE BUDGET INTO A PLAN OF
COVERAGE OF PRODUCTION REQUIREMENTS,
CONSIDERING THE SEEDING TIMES
§ COLLECTION OF CULTIVATION PROPOSALS AND
CONSOLIDATION INTO PROCUREMENT PROPOSALS
§ ASSOCIATION OF CONTRACTORS TO
PROCUREMENT CONTRACTS AND CONTROL OF
AVAILABLE CAPACITY FOR HARVESTING, LOADING
AND TRANSPORTATION.
§ SPECIFIC DECKS THAT ALLOW PLANNERS TO
SCHEDULE CONSIDERING ALL CAPACITY
CONSTRAINTS AND TO CHECK IN REAL TIME THE
DIFFERENCES BETWEEN THE SCHEDULES AND
ACTUAL OPERATIONS
§ THE SYSTEM PROVIDES REAL-TIME VEHICLE
ENTRANCE AUTHORIZATION ON THE BASIS OF
THE COMPATIBILITY WITH THE DAILY
OPERATIONAL PLAN
§ TRANSPORTATION ANALYSIS AND
OPTIMIZATION FOR “VEHICLE ROUTING”
PROBLEMS: GIVEN ROUTE, CAPACITY AND TIME
CONSTRAINTS
COPROB improved Crops
Procurement planning
COPROB developed Operational
Planning capabilities
COPROB improved its Transports
planning and goods receipt
capabilities
End user, business user evaluation
User centred design approach
Farmer
Connect
Visual design
Information design + architecture
Structure
Understanding requirements
Strategy, FMCG needs and objectives
Environment
User capabilities
User goals
Users
The visual treatment of graphic
elements, the look and feel of the
application
Interface evaluation elements designed to meet
user needs and business expectations.
Interaction design develops the application flows to
facilitate user tasks. Designing the presentation of
information to facilitate understanding
Structural design of the information space
to facilitate intuitive access to content
Definition of user needs, content and information
requirements, functional requirements in order to
meet user needs
Definition of scope aligned with FMCG objectives
Plan and Analysis
Concept
Design
Build
Implement
Launch
Walmart & IBM started working on
2 pilots around food traceability & transparency
Pork
Traceability/safety
Mango
Traceability/global trade
https://www.ibm.com/blockchain/foodsafety/
Blockchain Helps
the entire ecosystem shares a single trusted source of information on the food system
Retailers
Regulators
Customers
Growers
570M
Food Suppliers
1M
Processors
126K
33K
Logistics
1.9M
600
2.7B
Millions of participants
will view their
permissioned section
of the same information
in a trusted, scalable
network
TX
© 2017 IBM Corporation
Adoption by ecosystem
Food transparency Blockchain network
Participants use API, mobile or
desktop app
Easy upload of documents
Traceability from products to farms
Easy access to certificates and
documents
IBM
Watson Supply Chain
PO
PO
ACK
ASN
RFT
Tender
Ack
Status
Status
Delivery
Notification
INV
Remit
Adv
Archival
EnrichmentTranslation
VisibilityOn Boarding
Routing
Frictionless onboarding and exchanges with
suppliers, buyers and carriers
Cognitive Mapping Tools
Visibility across the transaction lifecycle in
real-time and in context
Business Transaction Intelligence
Supply Chain Business Network
Online collaboration aided by cognitive insights
to resolve disruptions
Resolution Rooms
Natural language search and visibility across
the supply chain lifecycle
Operations Center
Supply Chain Insights
… integrating existing capabilities and
creating Shared Ledgers enables …
IBM Blockchain
Powered
IBM Supply Chain
Business Network
Based
IBM Internet of
Things Enabled
Shared
Ledgers
…and
more
Unsaleables
Management
Shipment
Visibility
Invoice
Reconciliation
Immutable
record
Single
version of
events
Broader,
shared
visibility
Many-to-
many
connectivity

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eROSA Policy WS2: Precision Agri-Food Transparency

  • 1. Precision Agri-Food transparency Walter Stiers Walter_Stiers@be.ibm.com
  • 2. PublicPrivate Data Governance Territory Management & Map Engine Inputs Farm Trading Processing Distribution Smart Irrigation Precision Farming & Analytics Weather Monitoring Finance Farm Management Drones & Robotics Supply Chain Compliance Retail Landwatcher Cultivation Advisor PAIRS Weather Advisor Crop Recognition Inputs Management Soil Management Blockchain Logistics IoT Blockchain Watson Mobile Agriculture Specific Components Cross-Industry Components Web and Application Dev Ops Run Times Data Management Solutions Toolbox Agri Cloud Client Solution provided “aaS” available globally Available Agri, Finance, Transportation, Compliance and other tools to rapidlly build & deploy client specific solutions Data management layers, feed analytical & cognitve tools, registering historical territory profile Functional Components of IBM’s AgriTech Platform 3 layers that allows both ecosystem and key clients to benefit from IBM technology.
  • 3. Food, agriculture and industrial products are applying IoT sensors across various aspects of their business to collect data in real-time These data need to become valuable and interpreted within context.
  • 4. Agricultural Forecasts Our forecast engines are built using our leading-edge model forecasting, expertise from 200 meteorologists and related scientists, and our network of observations, radar, and satellite assimilation and modelling capabilities. Data in this package are tailored to meet agricultural industry needs at 500- square- meter resolution globally. What is it? What does it include? 15-day hourly forecasts for… • Reference evapotranspiration – forecast based on idealized conditions • Crop-specific reference evapotranspiration – 103 different crops supported, based on the % crop maturity and crop type specified • Model evapotranspiration – forecast based on actual land use conditions • Soil moisture/Soil temperature – user specifies the specific depth, up to 200 cm below the surface 15-day forecast, degree days – Provides daily forecasts on demand of cooling degree days, growing degree days and heating degree days 15-day frost forecast – Provides a daypart forecast on demand of the likelihood of frost events 15-day forecast, watering needs – Provides a daypart forecast on demand of the watering need index Location mapping services – Identifies locations based on zip code, geocode, city, state, region, district, and province The Weather Company Data Package: Agriculture
  • 5. Improving crop yield and quality while reducing water consumption in the vineyard Results Solution Remote satellite image processing for normalized vegetation index (NDVI) Evapo-transpiration modeling and plant modeling to determine irrigation schedule Increased Yield 23% Water Conservation 20% Reduced Variability Higher Grape Quality 10% Predictive weather model Weather station data Evapo-transpiration modeling Control a smart irrigation system. Use case: Smart Irrigation
  • 6. IBM Macroscopes (PAIRS) for production & full food chain Marketing/LogisticsAgribusiness, Finance, Insurance
  • 7. Accounting and Controlling Agricultural services Master Data Management PROCESSES OF THE AGRICULTURAL VALUE CHAIN Crops Procurement planning Operational Planning Transports planning and goods receipt Manage sub- products from sugar making
  • 8. PROCESSES OF THE AGRICULTURAL CHAIN § BUDGET MANAGEMENT, IN TONS AND HECTARES, OF CULTIVATIONS § COLLECTION AND CONSOLIDATION OF FORECASTS FROM AGRONOMISTS § «WHAT IF» SCENARIOS § EXPLOSION OF THE BUDGET INTO A PLAN OF COVERAGE OF PRODUCTION REQUIREMENTS, CONSIDERING THE SEEDING TIMES § COLLECTION OF CULTIVATION PROPOSALS AND CONSOLIDATION INTO PROCUREMENT PROPOSALS § ASSOCIATION OF CONTRACTORS TO PROCUREMENT CONTRACTS AND CONTROL OF AVAILABLE CAPACITY FOR HARVESTING, LOADING AND TRANSPORTATION. § SPECIFIC DECKS THAT ALLOW PLANNERS TO SCHEDULE CONSIDERING ALL CAPACITY CONSTRAINTS AND TO CHECK IN REAL TIME THE DIFFERENCES BETWEEN THE SCHEDULES AND ACTUAL OPERATIONS § THE SYSTEM PROVIDES REAL-TIME VEHICLE ENTRANCE AUTHORIZATION ON THE BASIS OF THE COMPATIBILITY WITH THE DAILY OPERATIONAL PLAN § TRANSPORTATION ANALYSIS AND OPTIMIZATION FOR “VEHICLE ROUTING” PROBLEMS: GIVEN ROUTE, CAPACITY AND TIME CONSTRAINTS COPROB improved Crops Procurement planning COPROB developed Operational Planning capabilities COPROB improved its Transports planning and goods receipt capabilities
  • 9.
  • 10. End user, business user evaluation User centred design approach Farmer Connect Visual design Information design + architecture Structure Understanding requirements Strategy, FMCG needs and objectives Environment User capabilities User goals Users The visual treatment of graphic elements, the look and feel of the application Interface evaluation elements designed to meet user needs and business expectations. Interaction design develops the application flows to facilitate user tasks. Designing the presentation of information to facilitate understanding Structural design of the information space to facilitate intuitive access to content Definition of user needs, content and information requirements, functional requirements in order to meet user needs Definition of scope aligned with FMCG objectives Plan and Analysis Concept Design Build Implement Launch
  • 11. Walmart & IBM started working on 2 pilots around food traceability & transparency Pork Traceability/safety Mango Traceability/global trade https://www.ibm.com/blockchain/foodsafety/
  • 12. Blockchain Helps the entire ecosystem shares a single trusted source of information on the food system Retailers Regulators Customers Growers 570M Food Suppliers 1M Processors 126K 33K Logistics 1.9M 600 2.7B Millions of participants will view their permissioned section of the same information in a trusted, scalable network TX © 2017 IBM Corporation Adoption by ecosystem
  • 13. Food transparency Blockchain network Participants use API, mobile or desktop app Easy upload of documents Traceability from products to farms Easy access to certificates and documents
  • 14. IBM Watson Supply Chain PO PO ACK ASN RFT Tender Ack Status Status Delivery Notification INV Remit Adv Archival EnrichmentTranslation VisibilityOn Boarding Routing Frictionless onboarding and exchanges with suppliers, buyers and carriers Cognitive Mapping Tools Visibility across the transaction lifecycle in real-time and in context Business Transaction Intelligence Supply Chain Business Network Online collaboration aided by cognitive insights to resolve disruptions Resolution Rooms Natural language search and visibility across the supply chain lifecycle Operations Center Supply Chain Insights
  • 15. … integrating existing capabilities and creating Shared Ledgers enables … IBM Blockchain Powered IBM Supply Chain Business Network Based IBM Internet of Things Enabled Shared Ledgers …and more Unsaleables Management Shipment Visibility Invoice Reconciliation Immutable record Single version of events Broader, shared visibility Many-to- many connectivity