The Semantic Web as a Platform Against Risk and Uncertainty in Agriculture

Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 506)


In this article, we discuss existing literature on DSS in agriculture, on DSS that use data available in the Semantic Web, and on Semantic Web initiatives focusing on agriculture information. Our goal is to assess the readiness of the Semantic Web as a platform to empower DSS that can keep risk and uncertainty in agriculture under control. Key agricultural activities targeted by DSS reported in literature are nutrient management, insect and pest management, land use and planning, environmental change and forecasting, and water and drought management. The most relevant use of Semantic Web in DSS, is in data analysis, as a means of making DSS more intelligent. There are initiatives to produce vocabularies and semantic repositories in the domain of agriculture. However, data and models are still isolated in specific domain repositories, and interoperability is still weak.


Decision Support Systems Semantic Web Agriculture 



Authors of this publication acknowledge the contribution of the Project 691249, RUC-APS: Enhancing and implementing Knowledge based ICT solutions within high Risk and Uncertain Conditions for Agriculture Production Systems (, funded by the European Union under their funding scheme H2020-MSCA-RISE-2015.


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Copyright information

© IFIP International Federation for Information Processing 2017

Authors and Affiliations

  1. 1.Universidad Técnica de MachalaMachalaEcuador
  2. 2.LIFIA, Fac. InformáticaUNLPLa PlataArgentina
  3. 3.Comision de Investigaciones Científicas de Buenos Aires (CIC)Buenos AiresArgentina
  4. 4.Departamento de Ciencia y TecnologíaUNQBernalArgentina

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