Home Ambient Intelligence – Software and Applications – 14th International Symposium on Ambient Intelligence Conference paper WoA: An Infrastructural, Web-Based Approach to Digital Agriculture Stefano Chessa, Giovanna Maria Dimitri, Marco Gori & Alexander Kocian Conference paper First Online: 26 September 2023 23 Accesses Part of the Lecture Notes in Networks and Systems book series (LNNS,volume 770) Abstract The Agritech project is a large Italian project funded with the National Recovery and Resilience Plan to contribute, among other objectives, to the digitization of Agriculture in Italy and to the implementation of an information technology platform and its web-based abstraction (called Web of Agriculture - WoA) that will support research, production and commercial activities in the agrifood sector in Italy, by leveraging on innovative artificial intelligence tools. We present here the design of the platform and of the WoA and its respective case studies.
WoA: An Infrastructural, Web-Based Approach to Digital Agriculture / S. Chessa, G.M. Dimitri, M. Gori, A. Kocian (LECTURE NOTES IN NETWORKS AND SYSTEMS). - In: Ambient Intelligence – Software and ApplicationsCham : Springer, 2023. - ISBN 978-3-031-43460-0. - pp. 113-122 (( Intervento presentato al 14. convegno International Symposium on Ambient Intelligence. ISAmI 2023 tenutosi a Guimaraes nel 2023 [10.1007/978-3-031-43461-7_12].
WoA: An Infrastructural, Web-Based Approach to Digital Agriculture
G.M. Dimitri;
2023
Abstract
Home Ambient Intelligence – Software and Applications – 14th International Symposium on Ambient Intelligence Conference paper WoA: An Infrastructural, Web-Based Approach to Digital Agriculture Stefano Chessa, Giovanna Maria Dimitri, Marco Gori & Alexander Kocian Conference paper First Online: 26 September 2023 23 Accesses Part of the Lecture Notes in Networks and Systems book series (LNNS,volume 770) Abstract The Agritech project is a large Italian project funded with the National Recovery and Resilience Plan to contribute, among other objectives, to the digitization of Agriculture in Italy and to the implementation of an information technology platform and its web-based abstraction (called Web of Agriculture - WoA) that will support research, production and commercial activities in the agrifood sector in Italy, by leveraging on innovative artificial intelligence tools. We present here the design of the platform and of the WoA and its respective case studies.
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