All Issue

2018 Vol.43, Issue 4 Preview Page
December 2018. pp. 440-444
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.

References
  1. Kim, J. -Y. 2014. Development of Interoperable and Scalable Platform for Open Farm Information System. Unpublished Ph.D. diss. Seoul: Seoul National University, Department of Biosystems Engineering.
  2. Kim, J. -Y, C. -G. Lee, S. -H. Baek and J. -Y. Rhee. 2015. Open farm information system data-exchange platform for interaction with agricultural information systems. Agricultural Engineering International: CIGR Journal 17(2): 296–309.
  3. Kim, J. -Y., C. -G. Lee, T. -H. Kwon, G. -H. Park and J. -Y. Rhee. 2013. Development of an agricultural data middleware to integrate multiple sensor networks for a farm environment monitoring system. Journal of Biosystems Engineering 38(3): 25–32. 10.5307/JBE.2013.38.1.025
  4. López-Riquelme, J. A., N. Pavón-Pulido, H. Navarro-Hellín, F. Soto-Valles and R. Torres-Sánchez. 2017. A software architecture based on FIWARE cloud for precision agriculture. Agricultural Water Management 183: 123-135. 10.1016/J.AGWAT.2016.10.020
  5. Mell, P. and T. Grance. 2011. The NIST definition of cloud computing. Special Publication 800-145. Gaithersburg, MD. USA: National Institute of Standards and Technology.
  6. Pesonen, L. A., F. K. -W. Teye and A. K. Ronkainen, M. O. Koistinen, J. J. Kaivosoja, P. F. Suomi, R. O. Linkolehto. 2014. Cropinfra – An Internet-based service infrastructure to support crop production in future farms. Biosystems Engineering 120: 92–101.10.1016/J.BIOSYSTEMSENG.2013.09.005
  7. Sørensen, C. G., L. Pesonen, S. Fountas, P. Suomi, D. Bochtis, P. Bildsøe and S. M. Pedersen. 2010. A user-centric approach for information modelling in arable farming. Computers and Electronics in Agriculture 73(1): 44–55.10.1016/J.COMPAG.2010.04.003
Information
  • Publisher :The Korean Society for Agricultural Machinery
  • Publisher(Ko) :한국농업기계학회
  • Journal Title :Journal of Biosystems Engineering
  • Journal Title(Ko) :바이오시스템공학
  • Volume : 43
  • No :4
  • Pages :440-444
  • Received Date :2018. 11. 02
  • Accepted Date : 2018. 11. 20