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
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;
Conference_Titel :
Computational Intelligence and Cybernetics (CYBERNETICSCOM), 2013 IEEE International Conference on
Conference_Location :
Yogyakarta
DOI :
10.1109/CyberneticsCom.2013.6865796