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SMARAGD: Data Interoperability for Decision Support in the Norwegian Agrifood Sector

Abstract

Norwegian land-based food production faces significant challenges driven by evolving weather patterns, rising operational costs, and labour scarcity. In response, there is a pressing need for enhanced strategies rooted in real time field insights. This necessitates the adoption of smart sensor-driven agritech technologies and data-driven precision farming solutions. While these technologies generate vast datasets, their transformative potential is hindered by interoperability gaps at data and API levels, constraining their adoption and utility. To address these limitations, the SMARAGD project focuses on enhancing data interoperability to integrate diverse datasets and leverage the synergistic effects of combined data, while also fostering opportunities for data providers to monetise their contributions. Through a plug-in architecture adhering to industry standards, SMARAGD aims to integrate diverse agritech data sources and services, presenting tailored insights to end users for informed decision-making. By enabling seamless data exchange and reducing manual efforts, this initiative promises to enhance productivity and profitability for farmers while enabling data providers to unlock the value of their interoperable data assets.
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Category

Academic chapter

Language

English

Author(s)

Affiliation

  • SINTEF Digital / Sustainable Communication Technologies
  • Western Norway University of Applied Sciences
  • Diverse norske bedrifter og organisasjoner

Year

2024

Publisher

CEUR Workshop Proceedings

Book

Companion Proceedings of the 8th International Joint Conference on Rules and Reasoning co-located with 20th Reasoning Web Summer School (RW 2024) and 16th DecisionCAMP 2024 as part of Declarative AI 2024

ISBN

9783031724060

View this publication at Norwegian Research Information Repository