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Optimization of production processes are required to provide companies with a competitive advantage. In the production industry this optimization is already under control and optimization of complex end-optimal models has been proposed. Using these model processes in agricultural production is inappropriate because they calculate exactly a process without the influence of random variables and factors. At the present time is usual to develop specific processes operating under ideal conditions. Their disadvantage is that real data from them vary considerably. Therefore, there is a need to develop simple methods and tools which can optimize these processes.

Keywords: Irrigation system ; queuing theory ; precise irrigation ; heuristic algorithms.

Subject(s): Research and Development/Tech Change/Emerging Technologies

Research Methods/ Statistical Methods

Resource /Energy Economics and Policy

Issue Date: Sep 30 2012

Publication Type: Journal Article

DOI and Other Identifiers: 1804-1930 (Other)

PURL Identifier: http://purl.umn.edu/146257 Published in: Volume 04, Number 3

AGRIS on-line Papers in Economics and Informatics Page range: 49-54

Total Pages: 6

JEL Codes: GA; IN

Series Statement: 2012

3

Record appears in: Czech University of Life Sciences Prague > Faculty of Economics and Management > AGRIS on-line Papers in Economics and Informatics





Autor: Palkova, Zusana ; Rodny, Tomas ; Okenka, Imrich

Fuente: http://ageconsearch.umn.edu/record/146257?ln=en







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