Improving data standards and integration for more effective decision-making in agriculture

J. Wolfert*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

Abstract

The development of digital agriculture or smart farming highlights the importance of data and data exchange. This chapter discusses how to achieve data standardization as a critical success factor in agricultural decision-making. It emphasizes the importance of starting from understanding business processes and decision-making steps. The chapter reviews a reference architecture that has been developed in the IoF2020 project to support the interoperability, replicability and re-use of standards and components for integral decision-making in agriculture.
Original languageEnglish
Title of host publicationImproving data management and decision support systems in agriculture
EditorsLeisa Armstrong
PublisherBurleigh Dodds Science Publishing Limited
Chapter2
Pages17-36
ISBN (Print)9781786763402
DOIs
Publication statusPublished - 27 Apr 2020

Fingerprint

Dive into the research topics of 'Improving data standards and integration for more effective decision-making in agriculture'. Together they form a unique fingerprint.

Cite this