Journal of Biosystems Engineering

Korean Society for Agricultural Machinery (한국농업기계학회)
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Building a Private Cloud-Computing System for Greenhouse Control

  • Kim, JoonYong (Research Institute for Agriculture and Life Sciences, Seoul National University) ;
  • Lee, Chun Gu (Dept. of Biosystems Engineering, Seoul National University) ;
  • Park, Dong-Hyeok (Dept. of Biosystems Engineering, Seoul National University) ;
  • Park, Heun Dong (Research Team, JiNong Inc.) ;
  • Rhee, Joong-Yong (Research Institute for Agriculture and Life Sciences, Seoul National University)
  • Received : 2018.11.02
  • Accepted : 2018.11.20
  • Published : 2018.12.01
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Abstract

Purpose: Cloud-computing technology has several advantages, including maintenance, management, accessibility, and computing power. A greenhouse-control system utilizing these advantages was developed using a private cloud-computing system. Methods: A private cloud needs a collection of servers and a suite of software tools to monitor and control cloud-computing resources. In this study, a server farm, operated by OpenStack as a cloud platform, was constructed using servers, and other network devices. Results: The greenhouse-control system was developed according to the fundamental cloud service models: infrastructure as a service, platform as a service, and software as a service. This system has four additional advantages - security, control function, public data use, and data exchange. There are several considerations that must be addressed, such as service level agreement, data ownership, security, and the differences between users. Conclusions: When the advantages are utilized and the considerations are addressed, cloud-computing technology will be beneficial for agricultural use.

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References

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