Digital technologies will continue to fill our world, creating new opportunities to change our lives. The world we live in is literally awash with digital technologies. They initiate and continue to initiate changes, running through all aspects of our lives, our environment, and the entire society of which we are a part.
The use of digital technologies in this paper is considered as a key factor in the complete transformation of the functioning methods of the agro-industrial complex and agriculture. The article examines the role of digital technologies in the agro-industrial complex, notes the benefits of using innovative digital technologies, and describes the factors that hinder the process of informatization of the agro-industrial complex (AIC). It also provides examples of how the use of digital technologies contributes to the improvement and functioning of agri-food systems efficiency.
-The article analyses the sectoral structure of the gross domestic (regional) product of the macroregions of the Russian Federation existing in the form of federal districts. The goal of the given research consists in the identification of macro economic tendencies in the economy of the Russian Federation on the basis of the comparative analysis of the sectoral structure of the gross domestic (regional) product of macroregions. The analysis of the importance of the regional shifts in the structure of the GDP in the section of the types of the economic activity was made. For this goal the coefficients of the irregularity of the distribution of the gross domestic (regional) product in groups of industries (sectors) and the integral coefficient of structural shifts by K. Gatev were calculated which showed that some changes existed in the structure of industries of the gross domestic (regional) product but they were insignificant. The problems engendering the differences in the numeral values of the mentioned index are identified. The potential ways of their solution at macro and meso levels of the economic system of the Russian Federation are suggested.Keywords -gross regional product, industrial structure, comparative analysis of the GDP (regional), coefficients of the inequality of the distribtuion of the GDP (regional) in groups of industries, integral coefficient of structural shifts by K. Gatev, macroregion
Extreme flooding of the floodplains of large lowland rivers poses a danger to the population due to the vastness of the flooded areas. This requires the organization of safe evacuation in conditions of a shortage of temporary and transport resources due to significant differences in the moments of flooding of different spatial parts. We consider the case of a shortage of evacuation vehicles, in which the safe evacuation of the entire population to permanent evacuation points is impossible. Therefore, the evacuation is divided into two stages with the organization of temporary evacuation points on evacuation routes. Our goal is to develop a method for analyzing the minimum resource requirement for the safe evacuation of the population of floodplain territories based on a mathematical model of flood dynamics and minimizing the number of vehicles on a set of safe evacuation schedules. The core of the approach is a numerical hydrodynamic model in shallow water approximation. Modeling the hydrological regime of a real water body requires a multi-layer geoinformation model of the territory with layers of relief, channel structure, and social infrastructure. High-performance computing is performed on GPUs using CUDA. The optimization problem is a variant of the resource investment problem of scheduling theory with deadlines for completing work and is solved on the basis of a heuristic algorithm. We use the results of numerical simulation of floods for the Northern part of the Volga-Akhtuba floodplain to plot the dependence of the minimum number of vehicles that ensure the safe evacuation of the population. The minimum transport resources depend on the water discharge in the Volga river, the start of the evacuation, and the localization of temporary evacuation points. The developed algorithm constructs a set of safe evacuation schedules for the minimum allowable number of vehicles in various flood scenarios. The population evacuation schedules constructed for the Volga-Akhtuba floodplain can be used in practice for various vast river valleys.
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