This work describes the ongoing design and development of the METRIQA platform, hosting the Italian agrifood data space. Both are key components that the Italian National Research Centre for Agricultural Technologies is putting forward in its activities. We present a high-level description of the platform, which is designed to provide web-like access to digital resources and services following an approach called Web of Agri-Food, to support the digital transformation of the sector in Italy. To show its potential, we also present a real case study demonstrating both the benefits and impacts of the proposed architecture, connecting stakeholders and authorities at different levels.

Manlio, B., Dimitri, G.M., Kocian, A., Barsocchi, P., Crivello, A., Brunori, G., et al. (2024). Agricultural Data Space: the METRIQA Platform and a Case Study in the CODECS project. In 2024 19th Conference on Computer Science and Intelligence Systems (FedCSIS) (pp.543-548). New York : IEEE [10.15439/2024F5291].

Agricultural Data Space: the METRIQA Platform and a Case Study in the CODECS project

Dimitri, Giovanna Maria;Gori, Marco;
2024-01-01

Abstract

This work describes the ongoing design and development of the METRIQA platform, hosting the Italian agrifood data space. Both are key components that the Italian National Research Centre for Agricultural Technologies is putting forward in its activities. We present a high-level description of the platform, which is designed to provide web-like access to digital resources and services following an approach called Web of Agri-Food, to support the digital transformation of the sector in Italy. To show its potential, we also present a real case study demonstrating both the benefits and impacts of the proposed architecture, connecting stakeholders and authorities at different levels.
2024
978-83-969601-6-0
Manlio, B., Dimitri, G.M., Kocian, A., Barsocchi, P., Crivello, A., Brunori, G., et al. (2024). Agricultural Data Space: the METRIQA Platform and a Case Study in the CODECS project. In 2024 19th Conference on Computer Science and Intelligence Systems (FedCSIS) (pp.543-548). New York : IEEE [10.15439/2024F5291].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11365/1277915