The Data-Driven Bioeconomy project (DataBio) demonstrates the benefits of Big Data technologies in the production of raw materials from agriculture, forestry and fisheries. DataBio helps the bioeconomy industry to produce food, energy and biomaterials in a responsible and sustainable manner.
To achieve the above goals, DataBio uses innovative ICT technologies and information flows. Proximity and distance sensors provide a streamlined data infrastructure for finding, retrieving, processing and ultimately visualizing information to support the decision making of farmers and fishermen.
DataBio proposes to set up an advanced Big Data platform that runs on top of the existing infrastructure and solutions of the partners. The work consists of continuous collaboration between experts, end-users, research institutes and technology companies, as well as stakeholders from the bioeconomy sector.
The DataBio consortium includes 48 partners from 17 countries. This project has received funding from the European Union’s Horizon 2020 research and innovation programme. For more information, have a look at the webpage of the Data-Driven Bioeconomy project.
The expected outcomes include:
To achieve the above goals, DataBio uses innovative ICT technologies and information flows. Proximity and distance sensors provide a streamlined data infrastructure for finding, retrieving, processing and ultimately visualizing information to support the decision making of farmers and fishermen.
DataBio proposes to set up an advanced Big Data platform that runs on top of the existing infrastructure and solutions of the partners. The work consists of continuous collaboration between experts, end-users, research institutes and technology companies, as well as stakeholders from the bioeconomy sector.
- Demonstrate the increase in productivity
- An increase in market share of Big Data technology providers
- More than doubling the use of Big Data technology in the bioeconomy
- Use additional sector investments with a factor >5
- More than 100 organizations in demonstration
- Collaboration with other Big Data activities
- Close cooperation with Big Data Visual and Immersive Analytics (BDVA)
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