Digital control of the application efficiency of agricultural land and the involvement of retired territories into circulation

Abstract

The economic instability of recent decades has various social consequences. One of which is the emergence of abandoned agricultural areas. Analytical studies have shown that geolocation, aimed at creating a digital image of agricultural areas, reveals exclusion zones. The government has set the task of developing programs to involve the agricultural turnover of unused land. It is proposed to carry out a system-architectural design of the target zoning of territories. The selection of the basic model within the architecture of the Database of agricultural lands in circulation is supplemented by a block of a digital image for recognizing resource opportunities. The problem of developing a formalized set of typed commands that structure knowledge about the state of territories and their functionality for expert programming systems is solved. The database is formed from declarative (factual), procedural, and control knowledge. To form the database, the state of unused agricultural land in the country was shown. A forecast was given by the Ministry of Agriculture of Russia for the involvement of fallow lands in the turnover by the end of 2030. The concept of the efficiency of involving unused agricultural land into circulation was presented. A mathematical description of the risks and a graphical presentation of ways to achieve the efficiency of returning unused land by a set of indicators of risk restrictions were given. The key advantage of the developed concept is the creation of a modular-type production infrastructure, which is modernized and filled according to the current needs of economic activity, which is flexible to changes in internal factors and does not require external resources.

Visual Dissemination of Intangible Cultural Heritage Information Based on 3D Scanning and Virtual Reality Technology

“…Refer to the formulation standards of international metadata databases, such as CDWA, a database of artworks and digital image resources, and VRA, a database of art and folk culture, in order to determine the attributes of the intangible cultural heritage metadata database. The intangible cultural heritage database attributes are determined as general attributes and core attributes [ 12 ]. The core attributes include the basic information of intangible cultural heritage such as name, type, batch, and application area.…”

“…2 Scanning synthesis attributes (such as spatiotemporal multidimensional attributes); it is suitable for visualization by combining time-based visualization methods (such as time series diagrams and calendar diagrams), geographic informationbased visualization methods (such as GIS), hierarchical information visualization, and multidimensional visualization methods in the visualization discipline [11]. In order to dig out the feasible visualization direction and content, in-depth interviews were conducted with experts in the field of intangible cultural heritage and visualization, and the following research directions were summarized: ( [12]. The core attributes include the basic information of intangible cultural heritage such as name, type, batch, and application area.…”