Res. Agr. Eng., 2009, 55(1):1-9 | DOI: 10.17221/12/2008-RAE

Simulation mathematical model of expert system for working processes management

O. Syrový, V. Podpěra

The elementary simulation mathematical models presented in this article are related with the sub-system Crop production of the expert system for the decision support in technological and working processes management and their optimisation. Along with this sub-system, the expert system also involves the sub-systems Livestock production and Material handling which is further divided into the parts Transport and Storage. The boundary between the individual parts of the expert system is usually a short-term or long-term material storage. The relative individual sub-systems are mutually connected through the information flow. For each of the sub-systems, specific simulation models are created. The simulation models in the expert system investigated replace the complex of general standards and norms used in other expert systems. The simulation models allow to take into consideration the concrete natural and production conditions (area, plots shape and inclination, soil type, transport routes length and surface, fertilisers doses, crops yields etc.) and also the technological systems utilised during the realisation of operations in working processes (technical, exploitation, energy, economical or energy means, attached vehicles, machines and equipment and method of their work) and the calculation of the parameters utilised. The simulation models also allow the creation of suitable working, and transport sets to choose their optimal variants for the given conditions. In comparison with the utilised standards and norms, the parameters computed through the simulation models significantly improve the data which represent the output from the expert system.

Keywords: expert system; simulation mathematical models; agricultural technological systems

Published: March 31, 2009  Show citation

ACS AIP APA ASA Harvard Chicago IEEE ISO690 MLA NLM Turabian Vancouver
Syrový O, Podpěra V. Simulation mathematical model of expert system for working processes management. Res. Agr. Eng.. 2009;55(1):1-9. doi: 10.17221/12/2008-RAE.
Download citation

References

  1. Abrham Z. (1995): Determination and economical evaluation of costs for mechanized operations in agriculture. Ústav zemědělských a potravinářských informací, Praha. (in Czech)
  2. Audsley E., Boyse D.S. (1974): Use of weather uncertainty, compaction and timeliness in the selection of optimum machinery for autumn field work: a dynamic 
  3. RES. AGR. ENG., 55, 2009 (1): 1-9 29: 141-149. Go to original source...
  4. Ekman S. (2000): Tillage system selection? A mathematical programming model incorporating weather variability. Journal of Agricultural Engineering Research, 77: 267-276. Go to original source...
  5. Jannot P., Cariol D. (1994): Linear programming as an aid to decision - making for investments in farm equipment for arable farms. Journal of Agricultural Engineering Research, 59: 173-179. Go to original source...
  6. Kavka M. (1997): Utilization of agrarian mechanization under market economy conditions. Ústav zemědělských a potravinářských informací, Praha. (in Czech)
  7. Kübler S., Fechner W., Wendt K., Pickel P. (2006): Entwicklung landwirtschaftlicher Simulationssoftware. Landtechnik, 61: 20-21. zation in both over-enterprise and enterprise practice. Ústav zemědělských a potravinářských informací, Praha. (in Czech)
  8. Simens J.C. (1998): Agricultural systems modelling and simulation. In: Field Machinery Selection Using Simulation and Optimization. the University of Florida, Gainesville, 543-566. Go to original source...
  9. Sögaard H.T., Sörensen C.G. (2004): A model for optimal selection of machinery sizes within the farm machinery system. Biosystems Engineering, 89: 13-28. Go to original source...

This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY NC 4.0), which permits non-comercial use, distribution, and reproduction in any medium, provided the original publication is properly cited. No use, distribution or reproduction is permitted which does not comply with these terms.