Skip to main content
SpringerLink
Log in

Big Data Approach in an ICT Agriculture Application

  • Chapter
  • First Online:
New Approaches in Intelligent Control

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 107))

  • 978 Accesses

Abstract

The advent of Big Data analytics is changing some of the current knowledge paradigms in science as well in industry. Even though, the term and some of the core methodologies are not new and have been around for many years, the continuous price reduction of hardware and related services (e.g. cloud computing) are making more affordable the application of such methodologies to almost any research area in academic institutions or company research centers. It is the aim of this chapter to address these concerns because big data methodologies will be extensively used in the new ICT Agriculture project, in order to know how to handle them, and how they could impact normal operations among the project members, or the information flow between the system parts. The new paradigm of Big Data and its multiple benefits have being used in the novel nutrition-based vegetable production and distribution system in order to generate a healthy food recommendation to the end user and to provide different analytics to improve the system efficiency. Also, different version of the user interface (PC and Smartphone) was designed keeping in mind features like: easy navigation, usability, etc.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Ludeña, R.D.A., Ahrary, A.: Big Data approach in an ICT agriculture project. In: Proceedings for the 5th IEEE International Conference on Awareness Science and Technology (iCAST 2013), Aizu-Wakamatsu, Japan, pp. 261–265 (2013)

    Google Scholar 

  2. Ludeña, R.D.A., Ahrary, A.: A Big Data approach for a new ICT agriculture application development. In: Proceedings for the 2013 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC 2013), Beijing, China, pp. 140–143 (2013)

    Google Scholar 

  3. Meeder, B., Tam, J., Kelley, P.G., Cranor, L.F.: RT @IWantPrivacy: widespread violation of privacy settings in the twitter social network. In: Proceedings of Web 2.0 Security and Privacy (W2SP 2011), Oakland, CA, USA (2011)

    Google Scholar 

  4. Manovich, L.: Trending: the promises and the challenges of big social data. In: Gold, M.K. (ed.) Debates in the Digital Humanities. The University of Minnesota Press, Minneapolis (2011)

    Google Scholar 

  5. Zimmer, M.: More on the “Anonymity” of the Facebook dataset—It’s Harvard College. MichaelZimmer.org Blog (2011)

    Google Scholar 

  6. Beyer, M.A., Laney, D.: The Importance of “Big Data”: A Definition. Gartner, Stamford (2012)

    Google Scholar 

  7. Jacobs, A.: The pathologies of Big Data. Commun. ACM 52(8), 36–44 (2009)

    Article  Google Scholar 

  8. Bollierm, D.: The Promise and Peril of Big Data. The Aspen Institute, Communications and Society Program, Washington (2010)

    Google Scholar 

  9. Latour, B.: Tarde’s idea of quantification. In: Candea, M. (ed.) The Social After Gabriel Trade: Debates and Assessments, pp. 145–162. Routledge, London (2011)

    Google Scholar 

  10. Agrawal, D., Bernstein, P., et al.: Challenges and Opportunities with Big Data. Community white paper, Purdue University, West Lafayette, Indiana (2011)

    Google Scholar 

  11. Gitelman, L.: Raw Data Is An Oxymoron. Massachusetts Institute of Technology Press, Cambridge (2013)

    Google Scholar 

  12. Research Trends: Special Issue on Big Data, Elsevier, Issue 30 (2012)

    Google Scholar 

  13. deRoos, D., Eaton, C., Lapis, G.: Paul Zikopoulos, Tom Deutsch, “Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data. McGraw-Hill, New York (2012)

    Google Scholar 

  14. Ludeña, R.D.A., Ahrary, A.: Big data application to the vegetable production and distribution system. In: Proceedings for the 2014 IEEE 10th International Colloquium on Signal Processing & Its Applications (CSPA 2014), pp. 20–24, Kuala Lumpur, Malaysia (2014)

    Google Scholar 

  15. Ahrary, A., Ludeña, R.D.A.: Big Data approach to a novel nutrition-based vegetable production and distribution system. In: Proceedings of The International Conference on Computational Intelligence and Cybernetics (CyberneticsCom 2013), pp. 131–135, Yogyakarta, Indonesia (2013)

    Google Scholar 

  16. Savola, R.M., Abie, H.: Metrics-driven security objective decomposition for an e-health application with adaptive security management. In: Proceedings of the International Workshop on Adaptive Security (ASPI 2013), Article No. 6, New York, NY, USA (2013)

    Google Scholar 

  17. Cirani, S., Ferrari, G., Veltri, L.: Enforcing security mechanisms in the IP-based internet of things: an algorithmic overview. Algorithms 6(2), 197–226 (2013)

    Article  Google Scholar 

  18. Ning, H., Liu, H.: Cyber-physical-social based security architecture for future internet of things. Adv. Internet Things 2(1), 1–7 (2012)

    Article  MathSciNet  Google Scholar 

  19. Sivabalan, A., Rajan, M.A., Balamuralidhar, P.: Towards a light weight internet of things platform architecture. J. ICT Stand. 1, 241–252 (2013)

    Article  Google Scholar 

  20. Weber, R.H.: Internet of things-new security and privacy challenges. Comput. Law Secur. Rev. 26(1):23–30 (2010) (Elsevier)

    Google Scholar 

  21. Acharya, R., Asha, K.: Data integrity and intrusion detection in wireless sensor networks. In: Proceedings of IEEE ICON 2008, New Delhi, India (2008)

    Google Scholar 

  22. Juels, A.: RFID security and privacy: a research survey. IEEE J. Sel. Areas Commun. 24(2), 381–394 (2006)

    Article  MathSciNet  Google Scholar 

  23. Floerkemeier, C., Bhattacharyya, R., Sarma, S.: Beyond RFID. In: Proceedings of TIWDC 2009, Pula, Italy (2009)

    Google Scholar 

  24. Sung, J., Sanchez Lopez, T., Kim, D.: The EPC sensor network for RFID and WSN integration infrastructure. In: Proceedings of the Fifth IEEE International Conference on Pervasive Computing and Communications Workshops, pp. 618–621 (2007)

    Google Scholar 

  25. Commission of the European Communities, Early Challenges Regarding the “Internet of Things” (2008)

    Google Scholar 

  26. Kushalnagar, N., Montenegro, G., Schumacher, C.: IPv6 over low-power wireless personal area networks (6LoWPANs): overview, assumptions, problem statement, and goals. In: IETF RFC 4919 (2007)

    Google Scholar 

  27. Weiser, M.: The computer for the 21st century. ACM SIGMOBILE Mob. Comput. Commun. Rev. 3(3), 3–11 (1999)

    Article  Google Scholar 

  28. Monthly Statistics of Agriculture: Forestry and Fisheries, Japanese Ministry of Agriculture Forestry and Fisheries (2014)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Computer and Information Sciences, Sojo University, Kumamoto, Japan

    R. Dennis A. Ludena

  2. Faculty of Computer and Information Sciences, Sojo University, Kumamoto, Japan

    Alireza Ahrary

Authors
  1. R. Dennis A. Ludena
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Alireza Ahrary
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Alireza Ahrary .

Editor information

Editors and Affiliations

  1. University of Hyogo, Chuo-ku, Japan

    Kazumi Nakamatsu

  2. Technical University of Sofia, Sofia, Bulgaria

    Roumen Kountchev

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Ludena, R.D.A., Ahrary, A. (2016). Big Data Approach in an ICT Agriculture Application. In: Nakamatsu, K., Kountchev, R. (eds) New Approaches in Intelligent Control. Intelligent Systems Reference Library, vol 107. Springer, Cham. https://doi.org/10.1007/978-3-319-32168-4_4

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-32168-4_4

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-32166-0

  • Online ISBN: 978-3-319-32168-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation