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1 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant
agreement № 818182
SmartAgriHubs
Digital Innovation Hubs – Digital Transformation of Agriculture
at a Regional Level
Sjaak Wolfert
Scientific Coordinator
2nd Annual Connected Agriculture and Construction Machinery Forum
26 Nov. 2019, Amsterdam, The Netherlands
2 2
1. Background and Context
2. Ecosystem Development
3. From IoF2020 to SmartAgriHubs
4. SmartAgriHubs Objectives
5. SmartAgriHubs Key Concepts
6. Network Expansion by Open
Calls
Table of
contents
3
Digital Transformation of Agri, Food, Nutrition & Health in 4 areas
Cloud Computing
Big Data
Analytics
Internet of Things
Linked Data
Artificial Intelligence
Blockchain
Technology
HealthFood Safety Environment Nutrition Food SecurityClimate3. Public decision-making
Smart Sensing
& monitoring
Smart Control
Smart Analysis
& Planning
1. Decision-Making
Business/Consumers
2. Food Integrity
4. Science
& Technology
https://www.linkedin.com/pulse/transdisciplinary-data-driven-research-social-sjaak-wolfert/
4
European Ecosystem Development on Digital Transformation
Industry 4.0
Network of
Digital
Innovation Hubs
Future Internet PPP
Open Source
Software Ecosystem
Food, Nutrition &
Health
Research Infrastructure
ESFRI roadmap
Boost rural
economies
through
cross-sector
digital service
platforms
Smart Rural
Regional
Ecosystems
5
Johan Bouma
Interview in Resource, 4 October 2018, p. 18-19
“You can’t achieve the UN’s
sustainability goals through
individual disciplines.
It is really important to get
the stakeholders involved in
the entire process.
It’s not about us solving their
problem, it’s our joint problem
that we need to jointly research
in the knowledge that there are
no direct solutions.”
Multi-
disciplinarity
Collaborative
process
Agile
development
6 Verdouw, C.N., Wolfert, S., Beers, G., Sundmaeker, H., Chatzikostas, G., 2017. IOF2020: Fostering business and software ecosystems for large-scale uptake of IoT in food and farming, in:
Nelson, W. (Ed.), The International Tri-Conference for Precision Agriculture in 2017, Hamilton, p. 7. http://doi.org/10.5281/zenodo.1002903
A multidisciplinary, collaborative, agile approach
Trials/Use Cases: Knowledge & App development
Lean multi-actor approach
1. CO-DESIGN
3. EVALUATION
2. IMPLEMENTATION
LARGE
SCALE
ECOSYSTEM & COLLABORATION SPACE
Project Coordination
& Management
P2P1
Business Modelling, Governance & Ethics
P3
Data Science & Information management
Ecosystem Development
Project Coordination
& Management
Project Coordination
& Management
Project Coordination
& Management
7
19 + 14 use case projects
Source: www.iof2020.eu/trials
8
Soil map based variable rate applications and machine automation in potato production
UC1.1. WITHIN-FIELD
MANAGEMENT ZONING
Coordinators: Peter Paree (ZLTO) & Corné Kempenaar (WUR)
9
SOIL MAP SERVICE
VARIABLE RATE
APPLICATION MAP
AUTOMATION & MACHINE
COMMUNICATION
Product Impressions
10
Major Challenge Here is what we aim to improve (KPIs)
Yield by better
plant distribution
Variable planting distance map –
Validation in 2017 and 2018. Nov. 2018
portal where maps can be ordered.
Variable rate herbicide use map -
Validation in 2016 and 2017. May 2018
portal where maps can be ordered.
Quality by better
plant distribution
Reduction
pesticide use
Core Product Features
Variable Rate
Application Map Service
Customer & Provider
Uses soil maps and agronomic knowledge to create
crop management task map based on variability in
soil characteristics like organic matter and/or clay
content, water storage capacity, tramlines, shade,
etc..
Smart application of resources: seeds,
pesticides, fertilizers +4%
+5%
-23%
Better distribution of plants leads to +5% kilos and +5% better
quality (more potatoes in desired size). Taking soil characteristics
for weed growth into account: -23% less herbicide and +2% more
yield.
Enriching canopy index with soil characteristics lead to -10% less
additional N fertilizer (2nd phase).
These values derive from comparison of a standard farm’s performance
prior to the installation of our system and after.
Reduction
fertilizer use
-10%
Product Factsheet
Existing variable rate maps are often based on tweaking
expert judgement and lack a certain level of precision in
tasking / lack of validation.
Farmers and advisors
Price per unit
Data-, service,
infra-, knowledge
providers
VRA additional N spraying
June 2018 on Growth + Soil Maps.
High spatio-temporal monitoring dashboard
Service
Business model Minimum Viable Products
Added Value
11
Consolidate and foster EU-wide network of Ag DIHs to enhance
digital transformation for sustainable farming and food production
Region and Sector
Specific expertise
Digital Transformation of the
European Agri-Food Sector
Technology expertise
Business model expertise
Overall objective
12
The 5 basic concepts of SmartAgriHubs
Innovation service
maturity model for
DIHs
Innovation
Portal
Innovation
Experiments
Layered network
of DIHs & CCs in
Regional Clusters
Digital Innovation
Hubs
Competence
Centres
13
Where IoF2020 stops... and SmartAgriHubs continues
14
Digital Innovation Hub – local one-stop shop
Incubators
Government
Cooperatives
Farmer communities
Investors
Others
Advisories
Research organisations
Start-ups
Education & training institutes
Large companies
Industry associations
Other Competence CentersCompetence Center
Orchestrator
Other DIHs
Innovation Experiments
15
DIH innovation services
Ecosystem
• Community building
• Strategy development
• Ecosystem learning
• Project development
• Lobbying
Technology
• Strategic RDI
• Contract research
• Technical support on scale-up
• Provision of technology
infrastructure
• Testing and validation
Business
• Incubator/accelerator
support
• Access to finance
• Skills and education
16
Challenge of SmartAgriHubs: Expand!
Ecosystem
108 Partners
Involved covering all EU
68 partners are SMEs
54% of budget allocated to SMEs
Digital
Innovation
hubs
140 DIHs in the existing Network
covering all 28 Member States
Regional Approach
9 Regional Clusters
Attract 260 New DIHs
Flagship
innovation
experiments
28 FIEs
22 Countries involved
13 Cross-border collaboration FIEs
(47%)
Impact
24M 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
Arable 8
(28,6)
Fruit 4
(14,2%)Vegetables 5
(17,8%)
Livestock 10
(35,7%)
Aquaculture 1
(3,5%)
5
sectors
17
Open call for proposals - preliminary ideas!
SAH
Open Call
money
500k€ ?
Additional
Investment Fund
xx M€ ??
• #IEs
• #digital solutions
• DIH services++
• Return on Investment
Proposal for programme
€? €
18
Possible, typical outline of a proposal
• Consortium of DIH(s) and fund(s) (+ SMEs?)
• Addressing a certain region (small or cross-country?)
• Addressing certain thematic priorities (sector, ...)
• Approach (re-do SAH?)
• FIEs as kick-starters, leading examples
• Challenges, hackathons, to identify new IEs  matchmaking
• ...
•  should enhance DIH services!!
19
Diversity in proposals is expected
IE, DIH, CC
Instruments
Geographical location
RegionLivestock, arable,
vegetables, fruit, aquaculture
Agri-food sector
KPIs:
• >70 New Innovation
Experiments
• 6 M€ SmartAgriHubs
Funding
• Leverage with external
public & private funds
aiming at mobilising
additional 24 M€
20
To allocate the
remaining 500k€ as
‘prize money’
• Hackathons/datathons
, ...
For those DIHs that
didn’t make it for the
open call
SmartAgriHubs
challenges - another
idea
21
Preliminary time path open call
• Until April 2020: preparation, setting thematic
priorities
• 30 April 2020: official launch open call
????
• Announcement co-locating with an event?
• Synergies for match-making, by a
harmonised approach all WPs
• Until end of summer (August): proposal
submission
• Q4-2020: Evaluation and selection of
proposals
22
• Existing DIH network
• SMEs/start-ups/scale-ups
• Network of Competence
Centres
• Flagship Innovation
Experiments (> 60 incl.
IoF2020)
• Excellent, well-equipped
support team
• 6M€ SAH money
Our offer:
23

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Digital Innovation Hubs – Digital Transformation of Agriculture at a Regional Level

  • 1. 1 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement № 818182 SmartAgriHubs Digital Innovation Hubs – Digital Transformation of Agriculture at a Regional Level Sjaak Wolfert Scientific Coordinator 2nd Annual Connected Agriculture and Construction Machinery Forum 26 Nov. 2019, Amsterdam, The Netherlands
  • 2. 2 2 1. Background and Context 2. Ecosystem Development 3. From IoF2020 to SmartAgriHubs 4. SmartAgriHubs Objectives 5. SmartAgriHubs Key Concepts 6. Network Expansion by Open Calls Table of contents
  • 3. 3 Digital Transformation of Agri, Food, Nutrition & Health in 4 areas Cloud Computing Big Data Analytics Internet of Things Linked Data Artificial Intelligence Blockchain Technology HealthFood Safety Environment Nutrition Food SecurityClimate3. Public decision-making Smart Sensing & monitoring Smart Control Smart Analysis & Planning 1. Decision-Making Business/Consumers 2. Food Integrity 4. Science & Technology https://www.linkedin.com/pulse/transdisciplinary-data-driven-research-social-sjaak-wolfert/
  • 4. 4 European Ecosystem Development on Digital Transformation Industry 4.0 Network of Digital Innovation Hubs Future Internet PPP Open Source Software Ecosystem Food, Nutrition & Health Research Infrastructure ESFRI roadmap Boost rural economies through cross-sector digital service platforms Smart Rural Regional Ecosystems
  • 5. 5 Johan Bouma Interview in Resource, 4 October 2018, p. 18-19 “You can’t achieve the UN’s sustainability goals through individual disciplines. It is really important to get the stakeholders involved in the entire process. It’s not about us solving their problem, it’s our joint problem that we need to jointly research in the knowledge that there are no direct solutions.” Multi- disciplinarity Collaborative process Agile development
  • 6. 6 Verdouw, C.N., Wolfert, S., Beers, G., Sundmaeker, H., Chatzikostas, G., 2017. IOF2020: Fostering business and software ecosystems for large-scale uptake of IoT in food and farming, in: Nelson, W. (Ed.), The International Tri-Conference for Precision Agriculture in 2017, Hamilton, p. 7. http://doi.org/10.5281/zenodo.1002903 A multidisciplinary, collaborative, agile approach Trials/Use Cases: Knowledge & App development Lean multi-actor approach 1. CO-DESIGN 3. EVALUATION 2. IMPLEMENTATION LARGE SCALE ECOSYSTEM & COLLABORATION SPACE Project Coordination & Management P2P1 Business Modelling, Governance & Ethics P3 Data Science & Information management Ecosystem Development Project Coordination & Management Project Coordination & Management Project Coordination & Management
  • 7. 7 19 + 14 use case projects Source: www.iof2020.eu/trials
  • 8. 8 Soil map based variable rate applications and machine automation in potato production UC1.1. WITHIN-FIELD MANAGEMENT ZONING Coordinators: Peter Paree (ZLTO) & Corné Kempenaar (WUR)
  • 9. 9 SOIL MAP SERVICE VARIABLE RATE APPLICATION MAP AUTOMATION & MACHINE COMMUNICATION Product Impressions
  • 10. 10 Major Challenge Here is what we aim to improve (KPIs) Yield by better plant distribution Variable planting distance map – Validation in 2017 and 2018. Nov. 2018 portal where maps can be ordered. Variable rate herbicide use map - Validation in 2016 and 2017. May 2018 portal where maps can be ordered. Quality by better plant distribution Reduction pesticide use Core Product Features Variable Rate Application Map Service Customer & Provider Uses soil maps and agronomic knowledge to create crop management task map based on variability in soil characteristics like organic matter and/or clay content, water storage capacity, tramlines, shade, etc.. Smart application of resources: seeds, pesticides, fertilizers +4% +5% -23% Better distribution of plants leads to +5% kilos and +5% better quality (more potatoes in desired size). Taking soil characteristics for weed growth into account: -23% less herbicide and +2% more yield. Enriching canopy index with soil characteristics lead to -10% less additional N fertilizer (2nd phase). These values derive from comparison of a standard farm’s performance prior to the installation of our system and after. Reduction fertilizer use -10% Product Factsheet Existing variable rate maps are often based on tweaking expert judgement and lack a certain level of precision in tasking / lack of validation. Farmers and advisors Price per unit Data-, service, infra-, knowledge providers VRA additional N spraying June 2018 on Growth + Soil Maps. High spatio-temporal monitoring dashboard Service Business model Minimum Viable Products Added Value
  • 11. 11 Consolidate and foster EU-wide network of Ag DIHs to enhance digital transformation for sustainable farming and food production Region and Sector Specific expertise Digital Transformation of the European Agri-Food Sector Technology expertise Business model expertise Overall objective
  • 12. 12 The 5 basic concepts of SmartAgriHubs Innovation service maturity model for DIHs Innovation Portal Innovation Experiments Layered network of DIHs & CCs in Regional Clusters Digital Innovation Hubs Competence Centres
  • 13. 13 Where IoF2020 stops... and SmartAgriHubs continues
  • 14. 14 Digital Innovation Hub – local one-stop shop Incubators Government Cooperatives Farmer communities Investors Others Advisories Research organisations Start-ups Education & training institutes Large companies Industry associations Other Competence CentersCompetence Center Orchestrator Other DIHs Innovation Experiments
  • 15. 15 DIH innovation services Ecosystem • Community building • Strategy development • Ecosystem learning • Project development • Lobbying Technology • Strategic RDI • Contract research • Technical support on scale-up • Provision of technology infrastructure • Testing and validation Business • Incubator/accelerator support • Access to finance • Skills and education
  • 16. 16 Challenge of SmartAgriHubs: Expand! Ecosystem 108 Partners Involved covering all EU 68 partners are SMEs 54% of budget allocated to SMEs Digital Innovation hubs 140 DIHs in the existing Network covering all 28 Member States Regional Approach 9 Regional Clusters Attract 260 New DIHs Flagship innovation experiments 28 FIEs 22 Countries involved 13 Cross-border collaboration FIEs (47%) Impact 24M 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 Arable 8 (28,6) Fruit 4 (14,2%)Vegetables 5 (17,8%) Livestock 10 (35,7%) Aquaculture 1 (3,5%) 5 sectors
  • 17. 17 Open call for proposals - preliminary ideas! SAH Open Call money 500k€ ? Additional Investment Fund xx M€ ?? • #IEs • #digital solutions • DIH services++ • Return on Investment Proposal for programme €? €
  • 18. 18 Possible, typical outline of a proposal • Consortium of DIH(s) and fund(s) (+ SMEs?) • Addressing a certain region (small or cross-country?) • Addressing certain thematic priorities (sector, ...) • Approach (re-do SAH?) • FIEs as kick-starters, leading examples • Challenges, hackathons, to identify new IEs  matchmaking • ... •  should enhance DIH services!!
  • 19. 19 Diversity in proposals is expected IE, DIH, CC Instruments Geographical location RegionLivestock, arable, vegetables, fruit, aquaculture Agri-food sector KPIs: • >70 New Innovation Experiments • 6 M€ SmartAgriHubs Funding • Leverage with external public & private funds aiming at mobilising additional 24 M€
  • 20. 20 To allocate the remaining 500k€ as ‘prize money’ • Hackathons/datathons , ... For those DIHs that didn’t make it for the open call SmartAgriHubs challenges - another idea
  • 21. 21 Preliminary time path open call • Until April 2020: preparation, setting thematic priorities • 30 April 2020: official launch open call ???? • Announcement co-locating with an event? • Synergies for match-making, by a harmonised approach all WPs • Until end of summer (August): proposal submission • Q4-2020: Evaluation and selection of proposals
  • 22. 22 • Existing DIH network • SMEs/start-ups/scale-ups • Network of Competence Centres • Flagship Innovation Experiments (> 60 incl. IoF2020) • Excellent, well-equipped support team • 6M€ SAH money Our offer:
  • 23. 23

Editor's Notes

  1. We have already worked on this in several main project lines, that are now also coming together, including a new area on rural economies
  2. SmartAgriHubs has a quite complex global picture and WP2 has to handle 3 perspectives. The objective of WP2 is to analyse these dimensions and try to identify where and how to place the open calls. Where would they have the biggest impact? It’s not possible to have one open call in each RC or in each sector. We have to choose. To maximise impact and success, our choices have to surgical.