{"title":"Big Data approach in an ICT Agriculture project","authors":"R. D. A. Ludena, A. Ahrary","doi":"10.1109/ICAWST.2013.6765444","DOIUrl":null,"url":null,"abstract":"The advent of Big Data analytics is changing some of the current knowledge paradigms in Science as well in Industry. Although, the term and some of the core methodologies have been around for many years, the continuous price reduction of hardware and some services (e.g. cloud computing) are making more affordable the application of these methodologies to almost any Research Area being developed in Academic Institutions or Company Research Centers. This growing popularity is also raising some 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 use in the new ICT Agriculture project granted by NEDO, in order to improve the efficiency and accuracy of the proposed system, therefore it is necessary to establish a common background for all the project members in which Sojo University plays a fundamental role in the improvement of the general performance of the proposed system.","PeriodicalId":68697,"journal":{"name":"炎黄地理","volume":"70 1","pages":"261-265"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"20","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"炎黄地理","FirstCategoryId":"1089","ListUrlMain":"https://doi.org/10.1109/ICAWST.2013.6765444","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 20
Abstract
The advent of Big Data analytics is changing some of the current knowledge paradigms in Science as well in Industry. Although, the term and some of the core methodologies have been around for many years, the continuous price reduction of hardware and some services (e.g. cloud computing) are making more affordable the application of these methodologies to almost any Research Area being developed in Academic Institutions or Company Research Centers. This growing popularity is also raising some 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 use in the new ICT Agriculture project granted by NEDO, in order to improve the efficiency and accuracy of the proposed system, therefore it is necessary to establish a common background for all the project members in which Sojo University plays a fundamental role in the improvement of the general performance of the proposed system.