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
Innovation challenge
How to start digital
transformation without a
thorough knowledge and
experience about available
solutions, costs, benefits and
potential pitfalls?
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
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.
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
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 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.
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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.
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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