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FOODIE Data Models for Precision Agriculture

ŘEZNÍK, T., LUKAS, V., CHARVÁT, K., CHARVÁT, K., HORÁKOVÁ, Š., KEPKA, M. FOODIE Data Models for Precision Agriculture. In Proceedings of the 13th International Conference on Precision Agriculture. St. Louis: International Society of Precision Agriculture, 2016. s. 1-17.
Jazyk publikace: eng
Anglický název: FOODIE Data Models for Precision Agriculture
Rok vydání: 2016
Místo konání: St. Louis
Název zdroje: International Society of Precision Agriculture
Autoři: Doc. Ing. Tomáš Řezník Ph.D. , Ing. Vojtěch Lukas Ph.D. , RNDr. Karel Charvát , Ing. Karel Charvát , Šárka Horáková , Ing. Michal Kepka
Abstrakt EN: The agriculture sector is a unique sector due to its strategic importance for both citizens (consumers) and economy (regional and global), which ideally should make the whole sector a network of interacting organizations. The FOODIE project aims at building an open and interoperable agricultural specialized platform hub on the cloud for the management of spatial and non-spatial data relevant for farming production. The FOODIE service platform deals with including their thematic, spatial, and temporal characteristics as well as their meta-information. Most of current information systems deal with data in the proprietary structure that fits the most to the purposes of each organization or individual. The structure of data itself is commonly proprietary even if there is a standard exchangeable format used by an information system. As a result, many organizations as well as individuals produce massive amounts of information for internal and external purposes. If we would like to integrate data from several sources, we need to establish a unified data model that is capable to include all the nuances of the underlying data models. In this regard, the conceptual model of FOODIE relies upon the following basic pillars: Data and service modelling in the geospatial domain relies upon the series of ISO/OGC geospatial standards and best-practices, Data and service modelling in the agriculture domain relies upon specific agriculture standards and best-practices such as the INSPIRE data model for Agricultural and Aquaculture Facilities, Transport and Monitoring Facilities. The paper described data models implemented as part of FOODIE infrastructure. In addition, FOODIE data model specification ensures: unified understanding and concept of agricultural data; interoperability with other similar (sub)systems when using open data in a standardized way; compliance with existing legislative requirements in Europe (especially INSPIRE and LPIS).
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