kj poppe on ict for copa cogeca june2015

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Big Data: challenges for farms and coops Krijn Poppe LEI Wageningen UR Based on work with Sjaak Wolfert, Cor Verdouw and others June 2015

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Page 1: KJ Poppe on ICT for Copa Cogeca June2015

Big Data: challenges for farms and coops

Krijn Poppe LEI Wageningen UR

Based on work with Sjaak Wolfert, Cor Verdouw and others June 2015

Page 2: KJ Poppe on ICT for Copa Cogeca June2015
Page 3: KJ Poppe on ICT for Copa Cogeca June2015

Take home messages

Agri-Food chains become more technology/data-driven

● Infrastructure and software development is a key issue

ICT is also an organisational issue, with significant socio-economic impacts; two scenarios:

1. Further integrated linear supply chain farmer becomes franchiser.

2. Farmer empowered by open collaboration

• Easy switch between suppliers

• Farmer can also share data with government

• More options for short supply chains

Reality somewhere in between?

F

F

Page 4: KJ Poppe on ICT for Copa Cogeca June2015

Disruptive ICT Trends:

Mobile/Cloud Computing – smart phones, wearables, incl. sensors

Internet of Things – everything gets connected in the internet (virtualisation, M2M, autonomous devices)

Location-based monitoring - satellite and remote sensing technology, geo information, drones, etc.

Social media - Facebook, Twitter, Wiki, etc.

Big Data - Web of Data, Linked Open Data

High Potential for unprecedented innovations!

everywhere

anything

anywhere

everybody

Page 5: KJ Poppe on ICT for Copa Cogeca June2015

Which innovations and new business models are possible ?

Precision Farming/Advice Segment Cons. supportService ++

• Prescriptive farming• Predictive maintenance• Eco-systems of apps• Regionally pooled big data

analysis for science and advise (and risk mgt.)

• Personalized advise by apps

• Online shops

• Integrated supply chains• Feedback consumer-producer

• Measure, pay sustainability

• Better T&T

• Paperless chain• Store

replenishment• Category

management

Sustainability HealthFood SafetyFood Security

LoyaltySMEs Cost priceGRIN Cope with retail

Transport

Input industriesFarmer Food processor Retail / consumerSoftware

Provider

Logistic solution providers

Transport+

Collaboration and Data Exchange is needed!

Page 6: KJ Poppe on ICT for Copa Cogeca June2015

Data exchange by ABCDEFs

Large organisations mostly have gone digital, with ERP and other systems

But between organisations (especially with SMEs) data exchange and interoperability is still very poor

While more data exchange for collaboration and business process control in the chain is needed

●As data need to be combined to create value

●The better we exchange data, the less disruptive it is for current business models and organisations

There is a need for ABCDEFs:

Agri-Business Collaboration & Data Exchange Facility

Proprietary/closed or open ABCDEFs?

Page 7: KJ Poppe on ICT for Copa Cogeca June2015

|7

John Deere FarmSight™:An Ecosystem for Decision Support Partners

• AgConnections• AgIntegrated• AgLeader• AgJunction• Delta Data Systems• DN2K •GEOSYS • PCT• GeekTech for Ag• Mapshots • Pioneer• Satshot• SST• ZedX• LDE (Germany)• Farmmade (UK)• Neotic Maferme (France)• DAAS (Denmark)• AgroVision (Netherlands/Belgium)• Technofarming (Italy)

Numerous Software Partners

Bottom Line: John Deere’s comprehensive ecosystem of innovative partners will drive customer value and improved decisions

Source: Charles Donahue at Smart AgriMatics, Paris 18 June, 2014

Page 8: KJ Poppe on ICT for Copa Cogeca June2015

|8

John Deere FarmSight™:An Ecosystem for Decision Support Partners

• AgConnections• AgIntegrated• AgLeader• AgJunction• Delta Data Systems• DN2K •GEOSYS • PCT• GeekTech for Ag• Mapshots • Pioneer• Satshot• SST• ZedX• LDE (Germany)• Farmmade (UK)• Neotic Maferme (France)• DAAS (Denmark)• AgroVision (Netherlands/Belgium)• Technofarming (Italy)

Numerous Software Partners

Bottom Line: John Deere’s comprehensive ecosystem of innovative partners will drive customer value and improved decisions

Source: Charles Donahue at Smart AgriMati cs, Paris 18 June, 2014

Is this‘mono-equipment system’ reality?

How to cope with changes in industry

boundries?

How many platforms should

users and developers enter?

Page 9: KJ Poppe on ICT for Copa Cogeca June2015

Redefining Industry Boundaries (1/2)(according to Porter and Heppelmann, Harvard Business Review, 2014)

9

3. Smart, connected product

+

+

+

2. Smart Product

1. Product

Page 10: KJ Poppe on ICT for Copa Cogeca June2015

Redefining Industry Boundaries (2/2)(according to Porter and Heppelmann, Harvard Business Review, 2014)

10

5. System of systems

farmmanagement

system

farm equipment

system

weather data

system

irrigation system

seed optimizing

system

fieldsensors

irrigation nodes

irrigation application

seedoptimizationapplication

farmperformance

database

seeddatabase

weather dataapplication

weatherforecastsweather

maps

rain, humidity,temperature sensors

farm equipment

system

planters

tillers

combine

harvesters

4. Product system

Page 11: KJ Poppe on ICT for Copa Cogeca June2015

Agri-Food Supply

Chain Networks

are multi-

dimensional

• Markets allocate products to different destinations

• Chains are supported by many service providers

• Intensive data-exchange with governments

law & regulation

innovation

geographic cluster

horizontal fulfillment

Vertical

Page 12: KJ Poppe on ICT for Copa Cogeca June2015

Farm Digital project

Sharing Data with AgriPlace:

Compliance Made Easy

https://www.agriplace.com

Page 13: KJ Poppe on ICT for Copa Cogeca June2015

LESS ADMINISTRATIVE BURDEN AND CREATING VALUE

Auditors• More effective audit on farm• More new clients • Savings of >€100 per audit visit

Farmers and Growers • Less time and irritation to collect data • More digital management • Savings of >€500 euro per grower

Retailers• Quicker and more complete data • Better risk management• > €30 savings per farm request

Importers and Food processors• Cost savings on data collection• Increase data quality• Savings > €10,000 per importer

Consumers • Relation with growers• Better understanding of labels• More transparency

PROTOTYPEAGRI-PLACE

FMS-manage-ment software

GOV. open data

LEI Wageningen URBenchmark-data

Page 14: KJ Poppe on ICT for Copa Cogeca June2015

The battleground in the USA

14

Code of Conduct

• Who has access to my data?• Do they gain market power

on future markets ?• Is there a lock inn ?• Do I become a franchiser

with the risks and not the returns?

Page 15: KJ Poppe on ICT for Copa Cogeca June2015

Is an eco-system of apps an alternative?

FARMER SCANS PESTICIDES PACKAGE IN THE FIELD

APP CONNECTS BASF FOR E-INSTRUCTION, CROP AND SOIL SPECIFIC

APP ASK METEO FOR 24 hour WEATHER FORECAST

BASF SENDS INSTRUCTION TO SPRAYING MACHINE ON WATER / PESTICIDE RATIO >> Machine adjusts

APP CHECKS ADVISE WITH GOV.AGENCY

FARMER CAN SHARE DATA WITH GOVERNMENT, SGS-AUDITOR GLOBAL GAP AND PUBLIC

CAN I USE MY CURRENT

SERVICE ?

CAN I USE MY FMS ?

DOES IT WORK WITH

BAYER / DEERE

DOES IT WORK WITH BRC / ISAcert

Can we link apps / services in a clever way ?

Leading to a market for services (apps and

data)?

Can this market be European (not MS), so

that development costs of services (apps and

data) are shared ?

Page 16: KJ Poppe on ICT for Copa Cogeca June2015

FI-Ware enabled Cloud Platform

CloudInformation

systems

SmartAgriFood: conceptual cloud architecture

sensorsactuators

data sources(‘Internet of Things’)

localInformation systems

App store

Services Spraying Advisory Services Meteorological Service

State and Policy Information Service

Consumer Food safety service

E-agriculturist Service for spraying potatoes Machine Breakdown

Service

Transport

User’s devices

Other sources

Page 17: KJ Poppe on ICT for Copa Cogeca June2015

App store

From conceptual architecture to a software platform and apps (proof of concept, prototype)

Services

sensorsactuators

data sources(‘Internet of Things’)

LocalISs

Spraying Advisory Services

Meteorological Service

State and Policy Information Service

Consumer Food safety service

E-agriculturist Service for spraying potatoes

FI-Ware enabled Cloud Platform

Machine Breakdown Service

User’s devices

Other sources

CloudIS

Transport

I2NDIoTIoCIoSS&T

GENERIC ENABLERS

Base Technologies

ValidationT270: Security, Privacy, Trust Framework: SPT (KOC)

T250: System & Data Integration (ATOS)

T240: B2B Collaboration Core (IBM)

T230: App Store (IBM)

T220: User Front-End (ATOS)

T260

: Ope

ratin

g E

nviro

nmen

t(IB

M)

T280: Softw

are Developm

ent Toolkit:SD

K (ATOS)

Page 18: KJ Poppe on ICT for Copa Cogeca June2015

App store

From conceptual architecture to a software platform and apps (proof of concept, prototype)

Services

sensorsactuators

data sources(‘Internet of Things’)

LocalISs

Spraying Advisory Services

Meteorological Service

State and Policy Information Service

Consumer Food safety service

E-agriculturist Service for spraying potatoes

FI-Ware enabled Cloud Platform

Machine Breakdown Service

User’s devices

Other sources

CloudIS

Transport

I2NDIoTIoCIoSS&T

GENERIC ENABLERS

Base Technologies

ValidationT270: Security, Privacy, Trust Framework: SPT (KOC)

T250: System & Data Integration (ATOS)

T240: B2B Collaboration Core (IBM)

T230: App Store (IBM)

T220: User Front-End (ATOS)

T260

: Ope

ratin

g E

nviro

nmen

t(IB

M)

T280: Softw

are Developm

ent Toolkit:SD

K (ATOS)

Is this commercially feasible?

Or is it too much a common pool investment in a market

where everybody wants to grab a stake, over-estimates the

value of its own data and finds it easier to builds its own

website ?

Page 19: KJ Poppe on ICT for Copa Cogeca June2015

2 Scenarios, with significant impacts ?

1. Scenario FIELDSCRIPT:

● Farmer becomes part of one integrated supply chain as a franchiser/contractor with limited freedom

● one platform for potato breeder, machinery company, chemical company, farmers and french fries processor.

● Weak integration with service providers, government ?

2. Scenario OPEN COLLABORATION:

• Market for services, apps and data

• Common, open platform(s) are needed

• Higher upfront, common investment ??

• Business model of such a platform more difficult?

• More empowerment of farmers and cooperatives?

F

F

Page 20: KJ Poppe on ICT for Copa Cogeca June2015

Points for discussion (1/2)

Ownership of farm data: the farmer, the robot supplier that puts the data in a database and refines it, the accountant that has an IPR on its report?

Liability: if it goes wrong when Dutch software is used by a Belgian contractor in spraying potatoes in N.France with a wrong update of the French pesticide regulations to instruct a German spraying machine ?

Business model (who pays what?) and governance of ABCDEF platform:

●Farmers / cooperatives owned, pay by use?

●Neutral organisation (a Data / Platform cooperative?)

●Commercially run by an ICT company?

●Governmental infrastructure ?

Page 21: KJ Poppe on ICT for Copa Cogeca June2015

Points for discussion (2/2)

Do differences in privacy laws / worries play a role?

Are issues of cyber-security coming up?

Can cooperatives deal with advanced ICT-using members and paper-oriented farmers at the same time?

What ABCDEFs to copy from the USA, what to develop in Europe?

Is there a need for action by farmers/cooperatives?

Page 22: KJ Poppe on ICT for Copa Cogeca June2015

Thanks for your attention

[email protected]

www.lei.wur.nl

www.FIspace.eu