effect of big data on farm enterprises

28
Effect of Big Data on Farm Enterprises Sjaak Wolfert , Krijn Poppe, Cor Verdouw (LEI Wageningen UR) Meeting with RABO Agrifinance, Wageningen, 10-Jun-2015

Upload: sjaak-wolfert

Post on 30-Jul-2015

356 views

Category:

Technology


2 download

TRANSCRIPT

Effect of Big Data on Farm Enterprises

Sjaak Wolfert, Krijn Poppe, Cor Verdouw (LEI Wageningen UR)

Meeting with RABO Agrifinance, Wageningen, 10-Jun-2015

Take home messages

Agri-Food chains become more technology/data-driven

● Infrastructure and software development is a key issue

● (Distance-)advice becomes clustered instead of rural-spread

Significant socio-economic impacts; two scenarios:

1. Further integrated supply chain farmer becomes franchiser/contractor with limited freedom

2. Farmer empowered by open collaboration

• Easier switch between suppliers

• More options for direct sales to consumers

Reality somewhere in between?

F

F

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, etc.

Social media - Facebook, Twitter, Wiki, etc.

Big Data - Web of Data, Linked Open Data

High Potential for unprecedented innovations!

everywhere

anything

anywhere

everybody

multi-dimensional

Agri-Food Supply

Chain Networks

(AFSCN)

• Currently: farm data are not optimally exchanged

• Need for exchange is rapidly changing

• Need for stake for all players

law & regulation

innovation

geographic cluster

horizontal fulfillment

Vertical

How more data affects private and public challenges

Sustainability HealthFood SafetyFood Security

Precision Farming: Better control

Better management decisions

SophisticatedTechnology,More advice

Segment products and input suppliers;

Benchmark with competitors

Consumer decision support (pre- and

after sales)

Better service concepts (e.g. in-store replenishment, less waste)

LoyaltySMEs Cost priceGRIN* Transport+ Cope with retail

Transport Transport Transport

Input industriesFarmer Food processor Retail / consumerSoftware

Provider

Logistic solution providers

* Genetic, Robotic, Information and Nano Technologies

Which innovations and new business models are possible ?

Precision Farming/Advice Segment Cons. supportService ++

• Open farm management systems with specific apps

• Computer aided (distant) advice and decisions

• Regionally pooled data analysis for science and advise

• 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+

Which innovations and new business models are possible ?

Precision Farming/Advice Segment Cons. supportService ++

• Open farm management systems with specific apps

• Computer aided (distant) advice and decisions

• Regionally pooled data analysis for science and advise

• 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!

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 (see prev. slide)

There is a need for ABCDEFs:

Agri-Business Collaboration and Data Exchange Facility

Proprietary/closed or open ABCDEFs?

|9

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

|10

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 many platforms should

users and developers enter?

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

11

3. Smart, connected product

+

+

+

2. Smart Product

1. Product

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

12

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

Future Internet PPP – 300 M€ EU funding

13

Towards a more open ABCDEF in the EU FI-PPP

Getting involved in the EU-ICT theme: the Future Internet Public-Private Partnership Programme (FI-PPP)

●> 300 M€ public funding in 5 yrs.

●SmartAgriFood (5 M€)

● 21 partners (LEI coordinating)

●FIspace (13.5 M€)

● 28 partners (LEI coordinating)

●FIWARE accelerators (17 M€)

Start-ups

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

App store

From conceptual architecture & prototypes to a real software platform and Apps

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)

FIspace high-level architecture

I2NDIoTIoCIoSS&T

GENERIC ENABLERS

Base Technologies

Validation

1. Crop Protection Information Sharing

2. Greenhouse Management & Control

3. Fish Distribution & (Re-)Planning

4. Fresh Fruit and Vegetables QA

5. Flowers & Plants Chain Monitoring

6. Meat Information Provenance

7. Import & Export of Consumer Goods

8. Tailored Information for Consumers

Trials:

Security, Privacy, Trust Framework: SPT

System & Data Integration

B2B Collaboration Core

App Store

User Front-EndO

pera

ting

Env

ironm

ent

Softw

are Developm

ent Toolkit (SDK)

FIspace approach: Software Mass Customisation

FIspaceApp Store

My FIspace (BCM)

DevelopApps

Pre-configureUser Systems

Customize &Use Systems

FIspace Platform

Single AppConfiguration

App developer Biz Architect User

FIspace App store: spraying advice

Public AdministrationFranz Farmer Ed Expert

FIsp

ace

platf

orm

Spraying (follow advice)

Provide Advice

Approval

2

3

Request Advice

1

FIspace AppWeather

Information

FIspace AppSpraying Advice

FIspace AppCertification

sensor data

Back

-End

Sys

tem

s

Expert SystemLaw &

Regulations system

Farm Management

System

Sensor Network

Field, crop, etc.

pesticide

advice details

compliancedata

19

trusted partners trusted partners

T270: 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: Soft

ware D

evelopment Toolkit:

SDK (ATO

S)

FIspace ecosystem developmentIn

dust

ries

(con

verg

ing)

Farming & Manufacturing Transport & Logistics

(Producers, Farmers, Manufacturers, Suppliers, ..)

Wholesale & Retail Health Sector

(Forwarder, Carriers, 3PL / 4PL, Ports, …) (Warehouses, Supermarkets, Stores, …) (Banks, Insurances, Authorities, ..´)

ICT Industry (going to the Cloud)

Cloud Operators & Infrastructure Providers

Business Configurators

I2NDIoTIoCIoSS&T

(+ follow up)

GENERIC ENABLERS

DEVELOPMENT TOOLKIT

Base Technologies

Validation

App & Service Providers

The FIspace house

Foundation

Serv

ice

Leve

l Ag

reem

ent

FISPACELAB

ATOSIBMKOCSistemLimeTri...App Developers

FIWARE Accelerators+ future experimenters

Ope

n So

urce

Sp

ecifi

catio

nsAGRI-

FOOD1

Ecosystem inThe Netherlands

Ope

n So

urce

Sp

ecifi

catio

ns

AGRI-FOOD2

Ecosystem inGreece?

Ope

n So

urce

Sp

ecifi

catio

ns

LOGISTICS

Ecosystem inGermany/Scandinavia?

Pre-commercial Commercial

Potential revenue streams

FIspace App Store My FIspaceDevelopApps Pre-configure

Configure &Use Systems

Commercial FIspace Platform

App developer Biz Architect User

Advertiser

Access fee

Use Fee Use Fee

Access fee

Pay for app (use)Sponsored app

4 Accelerator projects on agri-food & logistics

• SmartAgriFood– Smart farming (livestock, arable &

horticulture)– Open call: 4M€– Open until 15 Nov. 2014– www.smartagrifood.com

• FInish– Agri-Logistics– Open call: 5 M€– Open until 10 Dec. 2014 – www.finish-project.eu

• Fractals– Smart Farming in Balkan– Open call: 5.5 M€– 30 Nov. – 28 Feb. 2015– http://

www.f6s.com/fiware-fractals

• SpeedUp!Europe– Agrobusiness Park (DK)– Open call agri-food: ~1.9 M€– Open until 10 Dec. 2014– www.speedupeurope.eu

Total: ~ 16 M€ in 2 years ~ 150 Apps?

Impact of ABCDEFs on the supply chain

Virtualization and end-to-end tracking & tracing

● More influence on farm decision-making less freedom?

● Increased transparency, esp. for consumers

● Logistics improved by better monitoring, problem notification and optimization

More opportunities for direct farmer-consumer markets

● On-line, virtual auctions of products

● Local food consumption (see trends in cooking)

● Chances esp. for small farmers or new, professional players?

Impact ABCDEFs on the nature of the farm

Adoption of technology (esp. ICT) traditionally low, but will be accelerated

● Apps and devices are cheap and easy to use

● Hard/software-as-a-services model will be further introduced

Digitization and virtualization of farm processes

● Traditional Farm Management Information Systems will be replaced by customized services of apps

● (Advisory) services can be done from distance clustering in knowledge-intensive areas

● Better farm monitoring and benchmarking

Farmers can move away from commodity markets

● Last mile in logistics becomes easier

Take home messages (revisited)

Agri-Food chains become more technology/data-driven

● Infrastructure and software development is a key issue

● (Distance-)advice becomes clustered instead of rural-spread

Significant socio-economic impacts; two scenarios:

1. Further integrated supply chain farmer becomes franchiser/contractor with limited freedom

2. Farmer empowered by open collaboration

• Easier switch between suppliers

• More options for direct sales to consumers

Reality somewhere in between?

F

F

Remaining points for discussion

ABCDEFs will change the market for Ag software and services that utilize (big) data

Will there be a market for Ag data as such?

● “Google Ventures leads $15 million deal in Farmers Business Network”

● GODAN, a G8 initiative for Global Open Data for Agriculture and Nutrition

● Cf. the ‘battle’ for health data by Apple, Google, Samsung, etc.

What are the business models for Big Data and Agriculture?

Value can only be created if different stakeholders collaborate and share their data?

Then the profit from Big Data also needs to be shared?

www.agriXchange.eu

www.SmartAgriFood.eu

www.FIspace.eu

Or contact me:

[email protected]

nl.linkedin.com/in/sjaakwolfert/

@sjaakwolfert

http://www.slideshare.net/SjaakWolfert

More information