DEVELOPMENT OF TEMPORAL DATA MODEL FOR SELECTION OF AGRICULTURAL MACHINERY TAKING INTO ACCOUNT TECHNOLOGICAL PROPERTIES OF LAND PLOTS

Abstract

Optimal selection of agricultural machinery depends on many factors. Among the main ones are traction and coupling properties of tractors and technological properties of land plots. A temporal data model has been developed, and a program for optimal selection of agricultural machinery in the high-level language Python. The program implements user authorization, user’s work with a database of agricultural machinery. At the same time, you use the SOUNDite database, which allows you to store and process data using cloud-based non-client-server technologies. Goal: to develop a temporal data model for optimal selection of agricultural machines through integration with a spatial database. Methods: database design methods, dynamic geoinformation modelling methods, temporal database development methods. Results: A temporal data model has been developed, integrated with the geodata database and with the agricultural machinery database. Information on land plots is structured in the spatial database of geodata ArcGIS 10 and includes information on the area, type of use, technological properties of land plots that affect the traction and coupling properties of tractors. The temporal data model has the time attributes necessary to draw up a daily work plan, calculate economic indicators for mechanized tillage. Field of application of results: methodological approach of creation of temporal database is necessary for dynamic geographic information model, which is necessary for making decisions on optimal selection of equipment, selection of technological operations, solution of logistical and other practical problems.

Keywords

• база данных
• сельскохозяйственная техника
• технологические свойства земельных участков
• технологические свойства земельных участков