<abstract xmlns="http://www.w3.org/1999/xhtml"><p>The paper describes basic methodology assumptions related to construction of Bayesian networks. The paper aims at preparation of data for modeling to obtain fresh knowledge on economic and agricultural database and will constitute the first stage of research. Variables (economic and agricultural indicators) with discreet values were used for analysis with the use of two step grouping technique and previous non-typical data were explored. The research was carried out on the group of three hundred individual fanns from Malopolskie and Swiçtokrzyskie Voiovedship. The knowledge obtained from analyses will be used in practice in agricultural engineering in order to support agricultural activity.</p></abstract>

The paper describes basic methodology assumptions related to construction of Bayesian networks. The paper aims at preparation of data for modeling to obtain fresh knowledge on economic and agricultural database and will constitute the first stage of research. Variables (economic and agricultural indicators) with discreet values were used for analysis with the use of two step grouping technique and previous non-typical data were explored. The research was carried out on the group of three hundred individual fanns from Malopolskie and Swiçtokrzyskie Voiovedship. The knowledge obtained from analyses will be used in practice in agricultural engineering in order to support agricultural activity.

Verification of Economic and Agricultural Indicators With the Use of Statistical Methods on the Example of Individual Farms

Institute of Agricultural Engineering and Informatics, University of Agriculture in Krakow

Agricultural Engineering

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

The paper describes basic methodology assumptions related to construction of Bayesian networks. The paper aims at preparation of data for modeling to obtain...

Verification of Economic and Agricultural Indicators With the Use of Statistical Methods on the Example of Individual Farms

Published Online: Oct 17, 2016

Page range: 43 - 51

Received: Mar 01, 2016

Accepted: Jun 01, 2016

DOI: https://doi.org/10.1515/agriceng-2016-0043

Keywords
economical and agricultural indicators, individual farms, data exploration, two step cluster analysis

© 2016 Katarzyna Grotkiewicz et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Verification of Economic and Agricultural Indicators With the Use of Statistical Methods on the Example of Individual Farms

Published Online: Oct 17, 2016

Page range: 43 - 51

Received: Mar 01, 2016

Accepted: Jun 01, 2016

DOI: https://doi.org/10.1515/agriceng-2016-0043

Keywordseconomical and agricultural indicators, individual farms, data exploration, two step cluster analysis

© 2016 Katarzyna Grotkiewicz et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Keywords
economical and agricultural indicators, individual farms, data exploration, two step cluster analysis