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SmartAgriHubs: connecting the dots
Digital technologies are becoming increasingly important for agriculture but developments are fragmented. SmartAgriHubs aims to connect stakeholders across disciplines and sectors to foster collaboration. It will establish a network of Digital Innovation Hubs and Competence Centers across Europe to support the digital transformation of agri-food through multi-actor innovation experiments. The goal is to address sustainability challenges and bring more digital solutions to market at scale.
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SmartAgriHubs: connecting the dots
- 1. SmartAgriHubs: connecting thedots Digital Agriculture Forum Webinar, 6 Dec. 2020 Dr. Sjaak Wolfert - Sr. Scientist | Theme Ambassador Digital Innovation in Agri-Food
- 2. Digital Transformation ofAgri-Food in 4 areas coming together 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/
- 3. How to connectthe dots through infrastructures and business ecosystems that utilize the potential of digital data to address the grand challenges of sustainable food production? However...developments are very fragmented! 3
- 4. About the roleof research “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 Interview Johan Bouma in Resource, 4 October 2018, p. 18-19
- 5. A multidisciplinary, collaborative,agile approach 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 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
- 6. 6 19 + 14use case projects Source: www.iof2020.eu/trials Internet of Food and Farm 2020 Innovation Action: 2017 - 2020 30 M€ funding by DG-CNCT/AGRI Large-scale uptake of IoT in the European farming and food sector
- 7. 7 Where IoF2020 stops...and SmartAgriHubs continues
- 8. 8 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
- 9. 9 Consolidate and fosterEU-wide network of Ag DIHs to enhance digital transformation for sustainable farming and food production Region and Sector Specific expertise Digital Transformation of the Agri-Food Sector Technology expertise Business model expertise Overall objective
- 10. 10 See https://smartagrihubs.eu/portal/home •Existing DIH network • SMEs/start-ups/scale-ups, etc. • Network of Competence Centres • Flagship Innovation Experiments (> 60 incl. IoF2020) • Can be used for matchmaking to generate new Innovation Experiments by • Cascaded EU funding • Attracting additional funds SAH Innovation Portal
- 11. 11 Connecting the dotsbeyond Europe...
- 12. Thanks for your attention! 12 Dr.J. (Sjaak) Wolfert Strategic Sr. Scientist Digital Innovation in Agri-Food Wageningen University & Research P.O. Box 35 6700 AA Wageningen The Netherlands T +31 317 485 939 M +31 610 811 948 sjaak.wolfert@wur.nl www.wur.nl www.linkedin.com/in/sjaakwolfert https://twitter.com/sjaakwolfert https://www.slideshare.net/SjaakWolfert www.researchgate.net/sjaak_wolfert www.wur.eu/data www.smartagrihubs.eu www.IoF2020.eu www.datafair.nl/en/datafair.htm
- 13.
- 14. European Ecosystem Developmenton 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
- 15. 15 Soil map basedvariable rate applications and machine automation in potato production UC1.1. WITHIN-FIELD MANAGEMENT ZONING Coordinators: Peter Paree (ZLTO) & Corné Kempenaar (WUR)
- 16. 16 SOIL MAP SERVICE VARIABLERATE APPLICATION MAP AUTOMATION & MACHINE COMMUNICATION Product Impressions
- 17. 17 Major Challenge Hereis 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
- 18. 18 The 5 basicconcepts 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
- 19. 19 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
- 20. 20 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
Editor's Notes
- #3 Current development of the digital transformation in agri-food
- #4 The issues to be solved are very interrelated: choices on infrastructure are influencing governance, and vice versa, and so on...
- #7 In total we work on 33 use case projects all over Europe. Next slides provide an illustrative example of one use case demonstrating the multi-actor approach.
- #15 We have already worked on this in several main project lines, that are now also coming together, including a new area on rural economies
- #16 In principle this is a precision agriculture use case. A balanced set of partners is involved ranging from end-users (farmers), technology providers and research institutes.
- #17 Just gives a quick impression of what is happening in the use case. The soil is scanned with a device behind a tractor driving over the field resulting in a soil map, that reflects the variety in the soil An app within the platform Akkerweb is used to create an variable application map from the soil map, using knowledge models (algorithms). A machine is applying e.g. chemicals or fertilizer in a variable rate on the field accounting for the variability.
- #18 Beside the technical development, the use case partners are supported in developing a viable business model of the use case. Added value must be convincingly demonstrated and in the end this should be translated into a price setting for the services that the farmer has to use.