Data storage and management related to soil carbon cycle by a NoSQL databasing model - Joker Tao

Authors

  • Bence Mátyás
  • György Mátyás
  • Judit Horváth
  • János Kátai

DOI:

https://doi.org/10.17700/jai.2015.6.3.201

Abstract

The carbon dioxide (CO2) is the most important greenhouse gas contributing 60 % toward global warming, respectively (IPCC, 2007). The correlation management in researches which focus on greenhouse gases (GHG) emission and soil attributes require huge amount of data. These data are inducted from measuring devices directly or from systems which are used for experimental data storage and management. Generally, these data come from different database systems which use different data storage structure. The main objective of the present study was to discuss a non-relational databasing model called Joker Tao (JT) which provides Big Data management for soil data and their GHG production potential related to carbon cycle in relational-databasing environment (Oracle APEX).

Downloads

Published

2015-10-14

How to Cite

Mátyás, B., Mátyás, G., Horváth, J., & Kátai, J. (2015). Data storage and management related to soil carbon cycle by a NoSQL databasing model - Joker Tao. Journal of Agricultural Informatics, 6(3). https://doi.org/10.17700/jai.2015.6.3.201

Issue

Section

Journal of Agricultural Informatics