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1 SmartAgriHubs Connecting the dots to unleash the innovation potential for digital transformation of the European agri-food sector Sjaak Wolfert (Wageningen University & Research) Scientific Coordinator F&A Next, 16 May 2019, Wageningen, The Netherlands This project has received funding under the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 818182

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Page 1: Sjaak Wolfert (Wageningen University & Research) …fanext.com/wp-content/uploads/2019/05/14-35-Wolfert.pdf2019/05/14  · Big Data Analytics Internet of Things Linked Data Artificial

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SmartAgriHubsConnecting the dots to unleash the innovation potential

for digital transformation of the European agri-food sector

Sjaak Wolfert (Wageningen University & Research)Scientific Coordinator

F&A Next, 16 May 2019, Wageningen, The Netherlands

This project has received funding under the European Union’s Horizon 2020 research and innovation programme under grant

agreement No. 818182

Page 2: Sjaak Wolfert (Wageningen University & Research) …fanext.com/wp-content/uploads/2019/05/14-35-Wolfert.pdf2019/05/14  · Big Data Analytics Internet of Things Linked Data Artificial

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• Background

• IoF2020 project

• Objectives, Concepts

and Approach

• How to join us

• Questions

Contents SmartAgriHubs:

Where IoF2020 stops...

...and Digital Innovation

continues...

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Decision-Making

Food Integrity

HealthFood Safety Environment Nutrition Food SecurityClimate

Public decision-making

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Smart Sensing & Monitoring

Smart Control

Smart Analysis & Planning

Cloud Computing

Big Data Analytics

Internet of Things

Linked Data

Artificial Intelligence

Blockchain Technology

Scie

nce

& T

ech

no

logy

Digital Transformation of Agri-Food

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Decision-Making

Food Integrity

HealthFood Safety Environment Nutrition Food SecurityClimate

Public decision-making

110100101111001110000111011010101010000110

110100101111001110000111011010101010000110

Smart Sensing & Monitoring

Smart Control

Smart Analysis & Planning

Cloud Computing

Big Data Analytics

Internet of Things

Linked Data

Artificial Intelligence

Blockchain Technology

Scie

nce

& T

ech

no

logy

But...developments are still very

fragmented

Page 5: Sjaak Wolfert (Wageningen University & Research) …fanext.com/wp-content/uploads/2019/05/14-35-Wolfert.pdf2019/05/14  · Big Data Analytics Internet of Things Linked Data Artificial

European Public-Private Partnership ICT-projects

2011-2013: SmartAgriFood - a FIWARE-based conceptual architecture

and prototype applications (5 M€)

2013-2015: FIspace – B2B business collaboration platform for agri-food

& logistics (+ apps) (13.5 M€)

2014-2016: Accelerators: SmartAgriFood2, FInish, FRACTALS (~17 M€)

- 125 apps/start-ups based on FIWARE/FIspace

Sep. 2016: FIWARE Foundation established with 3 verticals:

Smart Cities, Industry and Agri-Food

2017-2020: IoF2020 – The Internet of Food and Farm (30 M€) - IoT

large-scale pilot for smart farming and food security

2018-2022: SmartAgriHubs – Connecting the dots to unleash the

innovation potential for digital transformation of the

European Agri-Food sector (20 M€)

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ECOSYSTEM & COLLABORATION SPACE

Pro

ject

Coord

ination

&

Managem

ent

A multidisciplinary, collaborative, agile approach

Trials/Use Cases: Knowledge & App developmentLean multi-actor approach

3. EVALUATION

1. CO-DESIGN2. IMPLEMENTATION

P1

P2

LARGE

SCALE

P3

Data Science &Information management

Business Modelling, Governance & Ethics

Ecosystem Development

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19 + 14 use case projects

Source: www.iof2020.eu/trials

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IoT tools for sustainable wine production, wine quality management and shipping monitoring

UC3.2. BIG WINEOPTIMIZATIONCoordinators: Mario Diaz Nava, ST Microelectronics

Page 10: Sjaak Wolfert (Wageningen University & Research) …fanext.com/wp-content/uploads/2019/05/14-35-Wolfert.pdf2019/05/14  · Big Data Analytics Internet of Things Linked Data Artificial

Multi-actor approach

JANUARY 1 2017

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IoT Product Impressions

sensors in

the vineyard

display devices,

agronomic parameters

and weather forecast

Temperature/RH logger

with data transmission

NIR spectrometer

% alc., sugar, etc.

Page 12: Sjaak Wolfert (Wageningen University & Research) …fanext.com/wp-content/uploads/2019/05/14-35-Wolfert.pdf2019/05/14  · Big Data Analytics Internet of Things Linked Data Artificial

✓ Precision viticulture deals with huge amount of data.

✓ Too much time requires to process them without

appropriate tools.

✓ Real-time decisions are needed.

Major Challenge Here is what we aim to improve (KPIs)

Production costs

Sustainable assets usage – Improved water

and electricity usage, CO2 emissions

Pesticide Management – Precise VRA maps

and joint usage of high-tech sprayers with

higher application precision and efficiency.

Monitoring time

Pesticides impact

Core Product Features Customers & Provider ✓ Professional dashboard for key parameters

transmitted from IoT sensors deployed on vineyards

and wineries.

✓ Single and easy-to-use interface to display,

aggregate and interpreted data in real time.

Winery

-10%

-15%

-10%

These values are estimations and come from comparisons

done on a standard winery’s performance before and after to

deploy P2W_IoT system.

Wrong decisions -10%

250€ /an

Sustainability Footprint per Bottle

Differentiation on the retail level

Consumers

Process2Wine IoT

Precision viticulture & winemaking

supervision

Here is our tool for Wine Sustainability

Product Factsheet

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Here is the difference

Reduction of the

number of data

inputs

Saving on energy

consumption

Reduction of

pesticide use by

treatments

applied only in

needed areas

Without our Product or Service With our Product or Service

Pen & Paper-based monitoring

Currently the viticulturist should visit

the parcels. The winemaker should

analyzed each tank.

Automatic monitoring

The data is automatically uploaded in the

software to be interpreted by the viticulturist

or the decision making tool. No manual re-

input is required.

Target User - Medium winery (30 – 100 ha)

- Winemaking cooperatives

The practices can be planned and efficient,

so the viticulturist can focus on more

valuable activities

No real-time measurement of

water and electricity consumption

In many cases the consumption

tracking is only based on invoices .

Pesticide use on whole vineyard

Currently treatments are applied on

the whole vineyard.

Smart metering for activity consumption

A better tracking allows the reduction of

energy and water resources (best practices).

Local pesticide application

With the knowledge of local weather

conditions, specific and localized

spraying can be performed.

-50%

-25%

-10%

Here is our tool for Wine Sustainability

Product User Story

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Where IoF2020 stops... and SmartAgriHubs continues

ECOSYSTEM & COLLABORATION SPACE

Pro

ject

Coord

ination

&

Managem

ent

Trials/Use Cases: Knowledge & App developmentLean multi-actor approach

3. EVALUATION

1. CO-DESIGN2. IMPLEMENTATION

P1

P2

LARGE

SCALE

P3

Data Science &Information management

Business Modelling, Governance & Ethics

Ecosystem Development

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Digital Innovation Hub

Incubators

Government

Cooperatives

Farmer communities

Investors

Others

Advisories

Research organisations

Start-ups

Education & training institutes

Large companies

Industry associationsCompetence Center

Other Competence Centers

Orchestrator

OtherDIHs

InnovationExperiments

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DIH innovation services

Ecosystem

• Community building

• Strategy development

• Ecosystem learning

• Project development

• Lobbying

Technology

• Technical support on scale-up

• Provision of technology

infrastructure

• Testing and validation

• Strategic RDI

• Contract research

Business

• Incubator/accelerator

support

• Access to finance

• Skills and education

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Already 140+ DIHs in EU-28

• Agricultural Engineering Precision Innovation Centre (UK)

• Agro Business Park A/S (DK)• Vegepolys (FR)• Smart Digital Farming (BE)• Greenport Horti Campus (NL)• JoinData (NL)• Agrarian Market Information

of Slovakia (SK)

• DIH for Smart Food (LT)• Andalusia Agrotech Digital

Innovation Hub (ES)• FARM2030 (PT)• Industry 4.0 Platform of

Tuscany Region (IT)• Croatian Robotics Digital

Innovation Hub (HR)• Treet buba tarim ve tarim

teknolojileri a.ş. (TR)

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The 5 basic concepts of SmartAgriHubs

Innovation service maturity model for

DIHs

Innovation Portal

InnovationExperiments

Layered network of DIHs & CCs in Regional Clusters

Digital Innovation Hubs

Competence Centres

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SmartAgriHubs’ challenge: expand!

Ecosystem

108+ Partners

Involved covering all EU

68 partners are SMEs

54% of budget allocated to SMEs

140 DIHs in the existing Network

covering all 28 Member States

Regional Approach

9 Regional Clusters

Attract 260 New DIHs

DigitalInnovationhubs

Impact

30M additional funding

Mobilized from other sources(public,

regional, national and private)

80 new digital solutions

Introduced into the market

2M Farms involved in digitisation

Open Calls

6M Euros distributed through

Open Calls

75% Open Call budget to SMEs

70 New Innovation Experiments

28 FIEs

22 Countries involved

13 Cross-border collaboration FIEs

(47%)

Flagship innovation experiments

Arable 8(28,6)

Fruit 4(14,2%)Vegetables 5

(17,8%)

Livestock 10(35,7%)

Aquaculture 1(3,5%)

5sectors

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Join us!www.smartagrihubs.eu

We are looking for:

• Digital Innovation Hubs

• Innovation Experiments

• start/scale-up, SMEs

• Funds

• private/public

• Visit our website

• Subscribe to our newsletter

• Visit our booth

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