Задача оптимизации технических параметров посевных агрегатов

Abstract

The central problem of crop production remains the lag in the growth of the yield of cultivated crops from the growth of the costs of their production. (Research purpose) The research purpose is in developing a method for optimizing the technical and economic parameters of machine and tractor units for innovative technologies (in particular, sowing units). (Materials and methods) During the study authors used information methods, statistical methods of collecting information in the study of test reports of agricultural machinery and reporting the use of new equipment in various agrotechnologies. The article presents a review and analysis of foreign and domestic literature on the subject under consideration. (Results and discussion) The creation of agricultural machinery should be based on the developments of fundamental and applied agricultural sciences, the use of sowing machines is closely related to the development of technologies in which they are used. One of the most important indicators of technology development of crop production is the efficiency of operation of a sowing tractor unit and the level of potential productivity of cultivated plants. The correct choice of parameters and modes of sowing machines for the construction of the most productive plant placement schemes contributes to the efficiency of the operation of the sowing unit. One of the ways to optimize the processes of selecting parameters and modes can be implemented using the Harrington function. (Conclusions) The article shows that the task of optimizing the technical and economic parameters of the sowing units is designed to promote the creation of new machines that meet the technical, technological, agrotechnical, operational and technological, ergonomic requirements, reliability and safety requirements, and others. The solution to the problem of optimizing the technical and economic parameters of sowing aggregates is reduced to a compromise solution of two target functions for yield and cost.