Optimization of the agricultural production structure

The article introduces optimization based intellectual decision support system, applied while forming a plan for crop and livestock farming production. The system includes database, knowledge base as well as modules for formation of models, optimization, simulation, decision analysis and inference. The developed linear programming model contains several hundreds of variables and restrictions. Having solved the task for the optimization particular values of the variables are obtained and they indicate what crops should be grown and in what area, as well as what animals and how many of them should be kept and what resources and how much of them have to be used in order to achieve the biggest benefit under the conditions presented. The simulation was employed to test the sensitivity of the plan to weather and market variations. The module of decision analysis and inference indicates that farm resources are used inefficiently and draw conclusions and recommendations for users.