DocumentCode
692725
Title
Big data approach to a novel nutrition-based vegetable production and distribution system
Author
Ahrary, Alireza ; Ludena, R. Dennis A.
Author_Institution
Fac. of Comput. & Inf. Sci., Sojo Univ., Kumamoto, Japan
fYear
2013
fDate
3-4 Dec. 2013
Firstpage
131
Lastpage
135
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. This growing popularity is also raising concerns regarding some of its core concepts and the way Data is treated through the analysis process. It is the aim of this paper 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. Creating a common background to be shared among project members and applied to the successful development and deployment of the project.
Keywords
Big Data; agricultural products; agriculture; data analysis; Big Data analytics; Big Data approach; ICT agriculture project; academic institutions; company research centers; nutrition-based vegetable distribution system; nutrition-based vegetable production system; Agriculture; Big data; Companies; Educational institutions; Market research; Security; Big Data; Computer Science; Data Analysis; Data Systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Cybernetics (CYBERNETICSCOM), 2013 IEEE International Conference on
Conference_Location
Yogyakarta
Type
conf
DOI
10.1109/CyberneticsCom.2013.6865796
Filename
6865796
Link To Document