Issue |
E3S Web Conf.
Volume 273, 2021
XIV International Scientific and Practical Conference “State and Prospects for the Development of Agribusiness - INTERAGROMASH 2021”
|
|
---|---|---|
Article Number | 07010 | |
Number of page(s) | 8 | |
Section | Agricultural Machinery | |
DOI | https://doi.org/10.1051/e3sconf/202127307010 | |
Published online | 22 June 2021 |
An integrated intelligent system for managing the efficiency of the production processes
Don State Technical University, 1, Gagarina sq., 344003, Rostov-on-Don, Russia
* Corresponding author: iluhan_markvo@mail.ru
Most agricultural enterprises in the Rostov region of the Russian Federation operate the mechanization equipment that differs significantly in terms of the duration of operation and operating time. Significant differentiation of the agricultural machines in terms of service life, operating time and, as a result, reliability leads to the fact that the efficiency of the functioning of the machines is potentially not the same. With non-optimal planning of the production processes in the crop production, certain losses are possible which are associated with delaying the time of work due to the low reliability of the machines, or, on the contrary, a decrease in the efficiency of using mechanization tools with high reliability rates. The consequences of the unsuccessful management decisions are most acutely manifested in the implementation of the harvesting processes, therefore, the aspects of managing the efficiency of the grain crops harvesting processes are considered in the work. The main means of the mechanization during grain harvesting is the combine harvester. Attention is focused on the use of the modern intelligent technologies for managing the production processes in the crop cultivation under the conditions of uncertainty in the environment.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.