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Fostering the Smart Agriculture Development in North East Europe

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Fostering the Smart Agriculture Development in North East Europe

  1. 1. 1 Fostering the Smart Agriculture Development in North East Europe Raul Palma Poznan Supercomputing and Networking Center
  2. 2. 2 SmartAgriHubs: overall objective Consolidate and foster EU-wide network of Agri DIHs to enhance digital transformation for sustainable farming and food production
  3. 3. 3 Dimensions & Technologies for Digital Transformation of Agri, Food, Nutrition & Health https://www.linkedin.com/pulse/transdisciplinary-data-driven-research-social-sjaak-wolfert/
  4. 4. 4 Innovation challenge How to start digital transformation without a thorough knowledge and experience about available solutions, costs, benefits and potential pitfalls?
  5. 5. 5 The 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 Building a network & community for Digital Transformation
  6. 6. 6 Harald Sundmaeker: Open calls
  7. 7. 7 SmartAgriHubs Open Calls Strengthen the cooperation and network structures by funding the operation of Digital Innovation Hubs
  8. 8. 8 Regional approach SAH uses a Regional Cluster (RC) approach, where each cluster represents a group of DIHs and CCs within a region and has a pan-European coverage that will intensify outreach of technological transformation. RCs are also the first connection for the regional Innovation Experiments.
  9. 9. 9 0.0 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0 Poland Latvia Slovak Republic Estonia Lithuania Czech Republic Hungary 2000-07 2008-12 2013-18 % Labour productivity Avg. yearly growth in GDP
  10. 10. 10 World Bank 16.03.2021: Digital Agriculture digitalization subindex
  11. 11. 11 11 LRATC / EUFRAS / IALB / GFRAS Web-conference 2020 • Countries covered: Poland, Latvia, Lithuania, Estonia • Act as intermediariary between regional DIHs, IEs and WPs in SmartAgriHubs • Identify, build and connect network of regional DIH and CC • Monitor regional funding schemes and opportunities • Monitor and support regional [F]Ies • Act as a contact point between farmers and technology providers in the region • Help to reduce the gap between the actors’ needs, challenges, interests and expectations in the sector • Share knowledge of the regional needs and setting • Engage stakeholders in the agri-food chain • Organisation and participation in events NEE Regional Cluster Fostering the Smart Agriculture development in North East Europe
  12. 12. 12
  13. 13. 13 13 DIH service needs • Offer access to e-Infrastructure resources to support pilots, prototyping, scaling-up, design, performance verification, testing, demonstration, etc. • Facilitate partnerships with SMEs/industry, innovation clusters, accelerators and investors that stimulate innovation • Increase visibility on a European/International level • Provide business coaching and training to “accelerate” market uptake and exploitation results • Support access to funding/grants • Develop long-term business relationships DIH Agro Poland DIH Agro Poland
  14. 14. 14 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement № 818182

Notas do Editor

  • Good morning everybody, my name is Raul Palma and I am here today very excited to introduce you the North East Regional Cluster, led
    by the Union ”farmers parliament” in Latvia and by my institute Poznan Supercomputing and Networking Center in Poland
    Our activites span across Poland and the Baltic countries (Latvia, Lithuania and Estonia), and our vision is to Foster the development of smart agriculture in these countries.

    and since both our organisations are very active in the modernisation and application of ICT technologies in the agri-food domain, in collaboration with many key stakeholders in our countries,
  • Application areas in which digital data increasingly play a role
    Digital data is becoming more important for (1) decision-making for businesses at any level of the agri-food supply chain; from farmers, through logistic providers to consumers.
    The same data is essential for (2) food integrity, providing assurance to consumers and other stakeholders about the safety, authenticity and quality of food.
    (3) Public decision-making for societal challenges such as food security, climate change, healthy food and nutrition could also tap into these data instead of using separate censuses and statistics which are usually lagging behind.
    Finally, this digitization is driven by fast developments in (4) science and technology (S&T), such as Artificial Intelligence, Internet of Things, Blockchain, et
  • But, of course, we face several challenges.

    The labour productivity in food industry and farms are significatively below the EU average, and in general Labour productivity growth has slowed down after the crisis.
    GDP per hour worked in Latvia was just 54% of the hourly productivity in high-income OECD countries  

    Low productivity, for example, is affected by the lack of proper technical equipment and innovators, as well as low the professional qualification of employees in agriculture and forestry. Low innovation in businesses seems a main factor behind slow productivity growth. Only few Latvian firms adopt new production technologies, launch new products or introduce new organisational methods.

    Some countries like Poland are also affected by low soil quality and rainfall shortages.

    There are also environmental challenges like water and wind erosion (Nitrate Vulnerable Zones)
    And high eutrophication of water bodies (and the Baltic Sea) make it necessary to reduce nitrogen and pesticide emissions.


    The share of innovating small and medium enterprises (SMEs) is among the lowest in the OECD. In particular, Latvian firms lag behind those in other OECD countries in their use of digital technologies, which is limited to basic tools.

    Labour productivity in Latvia remains lower than in other OECD countries, providing ample scope for catching-up. In 2017, GDP per hour worked in Latvia was just 54% of the hourly productivity  in high-income OECD countries (OECD, 2019a). Productivity growth, however, has slowed down considerably compared to the pre-crisis period. Average yearly growth in GDP per hour worked dropped from 7.8% in 2000-07 to 2.9% in 2013-18, although it remains higher than in Baltic and Central European countries  See remark to the para No. 219.


    Also low soil quality in Poland for example, combined with frequent rainfall shortages have a negative impact (on agricultural productivity).

    relative poor water quality and
    and herbicide
    (It is difficult to attract and maintain a well-educated work-force in these areas due to, amongst other things, a lack of basic infrastructure and services)

    (In Poland, soil quality influences the agricultural productivity of land)

    Approximately 19.4% of arable land in Poland faces various environmental challenges: 8.2% is particularly endangered by water and/or wind erosion, 3.6% experiences problems with low humus levels and 7.4% are defined as Nitrate Vulnerable Zones (areas that drain into waters polluted by nitrates).

    Moreover, the relatively poor water quality and the high eutrophication of Polish lakes, waterways and the Baltic Sea make it necessary to reduce nitrogen, phosphorus, pesticide and herbicide emissions

  • *share of farmland in country with mobile coverage
    Availability of mobile services and devices at affordable prices
    Mesure the level of development of non-digital enablers and governmental capacity to support digital innovation
  • And this is what our regional cluster aims to address.
    We ARE LINKING THE farmers and technology providers in the region,
    We ARE HELPING to reduce the gap between the needs and challenges, and to engage stakeholders by promoting a multi-actor approach

    Our activities include identifying and promoting successful DIH’s. Currently we have 11, including 6 in Poland 2 in Latvia, 3 in Lithuania and 1 in Estonia ( 2 potential DIH for open call – EMU (University of Life sciences in Tartu and Estonian Chamber of Commerce and Agriculture), in 1 potential Latvia – IT Cluster - DIH