Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 553420
Title Architecture framework of IoT-based food and farm systems: A multiple case study
Author(s) Verdouw, Cor; Sundmaeker, Harald; Tekinerdogan, Bedir; Conzon, Davide; Montanaro, Teodoro
Source Computers and Electronics in Agriculture 165 (2019). - ISSN 0168-1699
Department(s) Information Technology
Data Science, Information Management & Projectmanagement Organisation
Publication type Refereed Article in a scientific journal
Publication year 2019
Keyword(s) Architectural framework - Architecture - Food supply chains - Internet of Things - Smart farming - System of systems

The Internet of Things (IoT) is expected to be a real game changer in food and farming. However, an important challenge for large-scale uptake of IoT is to deal with the huge heterogeneity of this domain. This paper develops and applies an architecture framework for modelling IoT-based systems in the agriculture and food domain. The framework comprises a coherent set of architectural viewpoints and a guideline to use these viewpoints to model architectures of individual IoT-based systems. The framework is validated in a multiple case study of the European IoF2020 project, including different agricultural sub sectors, conventional and organic farming, early adopters and early majority farmers, and different supply chain roles. The framework provides a valuable help to model, in a timely, punctual and coherent way, the architecture of IoT-based systems of this diverse set of use cases. Moreover, it serves as a common language for aligning system architectures and enabling reuse of architectural knowledge among multiple autonomous IoT-based systems in agriculture and food.

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