ICT农业项目中的大数据方法

R. D. A. Ludena, A. Ahrary
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引用次数: 20

摘要

大数据分析的出现正在改变目前科学和工业领域的一些知识范式。尽管这个术语和一些核心方法已经存在了很多年,但硬件和一些服务(例如云计算)的持续降价使得这些方法在学术机构或公司研究中心开发的几乎任何研究领域的应用变得更加实惠。这种日益流行的趋势也引起了人们对它的一些核心概念和数据在分析过程中的处理方式的关注。本文的目的是解决这些问题,因为大数据方法将在NEDO授予的新ICT农业项目中广泛使用,为了提高拟议系统的效率和准确性,因此有必要为所有项目成员建立一个共同的背景,其中Sojo大学在改进拟议系统的总体性能方面发挥了根本作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Big Data approach in an ICT Agriculture project
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.
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