Big Data Analysis (Business Analytics) in Agriculture and Forestry: A Bibliography Review

  • Kitikidou K
  • Arambatzis N
N/ACitations
Citations of this article
13Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Now-a-days we are getting flooded with information, largely deriving from the World Wide Web. This information is dispersed and no significant relationship may be obtained from it and neither can this great rate be managed by conventional computer storage. It is considered that organizations that are best capable to establish real-time business decisions applying Big Data solutions will flourish, whilst those that are ineffective to adopt and make the best of this change will progressively find themselves at a competitive disfavour in the market and face possible bankruptcy. Big data analysis assures adequate capacity in terms of computer storage and processing power to elastically deal with data of such magnitude and by the use of analytics to acquire value from it. This study focuses on agriculture and forestry data and the use of particular bid data analysis tools used to get some substantive information which can be utilized for strategic and successful agriculture and forestry. Preceding analogous studies are discussed and recommendations are given.

Cite

CITATION STYLE

APA

Kitikidou, K., & Arambatzis, N. (2015). Big Data Analysis (Business Analytics) in Agriculture and Forestry: A Bibliography Review. Research Journal of Forestry, 9(1), 1–5. https://doi.org/10.3923/rjf.2015.1.5

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free