• MECHANIZATION IN AGRICULTURE

    Study of conditions for further development of high-tech agro-industrial production in Ukraine

    Mechanization in agriculture & Conserving of the resources, Vol. 67 (2023), Issue 4, pg(s) 120-122

    The article presents the results of a study of the conditions for further improvement and development of high-tech agricultural production in Ukraine. The purpose of this study is to define conceptual approaches to the technical and technological modernization of the agro-industrial complex as a key element of sustainable development of the real sector of Ukraine’s economy and strategic directions of research in agricultural science. The study found that in the context of inevitable climate change, the basis for the formation of highly automated agriculture will be flexible environmentally friendly technological processes in agricultural production, built on fundamentally new technical and technological principles, namely: intellectualization, digitalization, integrated automation and robotization. A concept for the development of high-tech agricultural production in Ukraine based on the principles of sustainable development and the innovative concept of Industry 4.0 was also developed, which will ensure high and sustainable economic growth of the agro-industrial complex, development of domestic agricultural engineering and related sectors of the economy. The strategic tasks for agricultural science in the development of the technical and technological base of highly automated agricultural production are outlined. The study of modern trends in the development of economies of advanced countries and their effectiveness give grounds to assert that the identified strategic directions of technical and technological modernization of the agricultural sector will be the basis for the formation of an effective model for the development of high-tech agro-industrial climate-oriented production in Ukraine.

  • MATHEMATICAL MODELLING OF SOCIO-ECONOMIC PROCESSES AND SYSTEMS

    Intellectualized information-analytical system monitoring air pollution

    Mathematical Modeling, Vol. 6 (2022), Issue 2, pg(s) 67-70

    The article develops a simulation model, structural and functional schemes of an intellectualized information-analytical system for monitoring air pollution (for high concentrations of carbon dioxide and sulfur, as well as dust particles with a dispersion of 2-5 microns) within the industrial area of the city. A feature of such a system is the ability to determine, dynamically monitor in real t ime the spatial map of the distribution of the concentration of the above harmful impurities and its forecasting, which would quickly determine areas of the city where the concentration of such impurities exceeds the allowable norm. The main advantage of the developed information -analytical system is the ability to conduct intelligent monitoring of air quality, which will allow for highly accurate and objective forecasting of changes in distribution and redistribution in space over time of harmful impurities. Tests of the developed information -analytical system allowed to investigate its work under different conditions and modes of measuring experiment, as well as to virtually determine the rational parameters of such a monitoring system. A satisfactory discrepancy of the results obtained with the help of experimental measurements wa s found in 7-13% in comparison with the data obtained by simulation, which confirms the correctness and adequacy of the compiled model.