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

Code: 9781786767257
Sjaak Wolfert, Wageningen University and Research, The Netherlands

Chapter synopsis: 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.

DOI: 10.19103/AS.2020.0069.03
Table of contents 1 Introduction 2 Business process modelling to identify data requirements 3 Data flows for a particular process: the example of variable rate fertilization 4 Linking platforms and software 5 Creating a reference architecture for interoperability, replicability and re-use 6 Key elements in data management 7 Conclusions 8 Where to look for further information 9 References

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