Architecture framework of IoT-based food and farm systems: A multiple case study

Cor Verdouw*, Harald Sundmaeker, Bedir Tekinerdogan, Davide Conzon, Teodoro Montanaro

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Article number104939
JournalComputers and Electronics in Agriculture
Volume165
DOIs
Publication statusPublished - 1 Oct 2019

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Farms
farm
case studies
farms
food
Agriculture
agriculture
organic farming
supply chain
organic production
Supply chains
Internet of things
farming systems
farmers
modeling

Keywords

  • Architectural framework
  • Architecture
  • Food supply chains
  • Internet of Things
  • Smart farming
  • System of systems

Cite this

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title = "Architecture framework of IoT-based food and farm systems: A multiple case study",
abstract = "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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Architecture framework of IoT-based food and farm systems: A multiple case study. / Verdouw, Cor; Sundmaeker, Harald; Tekinerdogan, Bedir; Conzon, Davide; Montanaro, Teodoro.

In: Computers and Electronics in Agriculture, Vol. 165, 104939, 01.10.2019.

Research output: Contribution to journalArticleAcademicpeer-review

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AU - Conzon, Davide

AU - Montanaro, Teodoro

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AB - 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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