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Design of Fuzzy Supervisor-Based Adaptive Process Control Systems Read chapter Read first chapter

2016 | OriginalPaper | Chapter

4. Big Data Approach in an ICT Agriculture Application

Authors : R. Dennis A. Ludena, Alireza Ahrary

Published in: New Approaches in Intelligent Control

Publisher: Springer International Publishing

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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.

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Literature
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)
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)
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)
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)
5.
Zimmer, M.: More on the “Anonymity” of the Facebook dataset—It’s Harvard College. MichaelZimmer.org Blog (2011)
6.
Beyer, M.A., Laney, D.: The Importance of “Big Data”: A Definition. Gartner, Stamford (2012)
7.
8.
Bollierm, D.: The Promise and Peril of Big Data. The Aspen Institute, Communications and Society Program, Washington (2010)
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)
10.
Agrawal, D., Bernstein, P., et al.: Challenges and Opportunities with Big Data. Community white paper, Purdue University, West Lafayette, Indiana (2011)
11.
Gitelman, L.: Raw Data Is An Oxymoron. Massachusetts Institute of Technology Press, Cambridge (2013)
12.
Research Trends: Special Issue on Big Data, Elsevier, Issue 30 (2012)
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)
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)
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)
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)
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)CrossRef
18.
Ning, H., Liu, H.: Cyber-physical-social based security architecture for future internet of things. Adv. Internet Things 2(1), 1–7 (2012)MathSciNetCrossRef
19.
Sivabalan, A., Rajan, M.A., Balamuralidhar, P.: Towards a light weight internet of things platform architecture. J. ICT Stand. 1, 241–252 (2013)CrossRef
20.
Weber, R.H.: Internet of things-new security and privacy challenges. Comput. Law Secur. Rev. 26(1):23–30 (2010) (Elsevier)
21.
Acharya, R., Asha, K.: Data integrity and intrusion detection in wireless sensor networks. In: Proceedings of IEEE ICON 2008, New Delhi, India (2008)
22.
23.
Floerkemeier, C., Bhattacharyya, R., Sarma, S.: Beyond RFID. In: Proceedings of TIWDC 2009, Pula, Italy (2009)
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)
25.
Commission of the European Communities, Early Challenges Regarding the “Internet of Things” (2008)
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)
27.
Weiser, M.: The computer for the 21st century. ACM SIGMOBILE Mob. Comput. Commun. Rev. 3(3), 3–11 (1999)CrossRef
28.
Monthly Statistics of Agriculture: Forestry and Fisheries, Japanese Ministry of Agriculture Forestry and Fisheries (2014)
Metadata
Title
Big Data Approach in an ICT Agriculture Application
Authors
R. Dennis A. Ludena
Alireza Ahrary
Copyright Year
2016
Book
New Approaches in Intelligent Control

Print ISBN: 978-3-319-32166-0

Electronic ISBN: 978-3-319-32168-4

Copyright Year: 2016

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

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