This article is devoted to the creation of complex electronic maps of agriculture and agro-geo databases on the basis of geoformation systems (GIS) and technologies. Scientific and practical research on the mapping of the agricultural sector conducted by scientists from foreign countries, the Commonwealth of Independent States and Uzbekistan. Analyzing the research on the classification of agricultural maps, the classification of agricultural maps for the Republic of Uzbekistan is proposed. Content elements of maps covering agricultural sectors and infrastructure objects have been developed by studying topo geodesic, field research, statistical data and classification of agricultural maps. Analyzing the scientific and applied research work on the creation of maps of the studied area, a technological system for creating an electronic map of agriculture using GIS and technologies was developed. This technological system involves the initial data collection, software selection, thematic layer development, conditional character processing, printing, and other processes in creating an agricultural map. A technological system for creating an agro-geo databases has been developed using the proposed content elements, topographic and geodetic works, statistical data and the capabilities of GIS technologies. The agro-geo databases are a standard environment that can be integrated into computers, Internet networks and mobile devices, as well as manage, store and edit agricultural data using ArcGIS software.
Software of Geographic Information Systems (GIS) has been widely used for land evaluation and detection of changes in land area. Using GIS it is possible now to combine different environmental, social, economic data, which in turn leads to lower costs and allows collecting and processing a variety of data with the exact calculation of the required results necessary for land use. Therefore, research has been focused on remotely controlled devices. The research has been conducted to simplify the land record keeping (land inventory) system and to improve land monitoring methods using remote-controlled devices. As a result, economic efficiency and productivity have been increased.
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