Data storage and management related to soil carbon cycle by a NoSQL databasing model - Joker Tao
DOI:
https://doi.org/10.17700/jai.2015.6.3.201Abstract
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