Issue |
BIO Web Conf.
Volume 108, 2024
International Scientific and Practical Conference “From Modernization to Rapid Development: Ensuring Competitiveness and Scientific Leadership of the Agro-Industrial Complex” (IDSISA 2024)
|
|
---|---|---|
Article Number | 08004 | |
Number of page(s) | 8 | |
Section | Adaptive Resource-Saving Technologies for Cultivating Agricultural Crops | |
DOI | https://doi.org/10.1051/bioconf/202410808004 | |
Published online | 15 May 2024 |
Analytical assessment of the machinery use efficiency in the technology of crop products production
Ryazan State Agrotechnological University Named after P.A. Kostychev, 390048, Ryazan, Russia
* Corresponding author: ay.gusev@mail.ru
The crop growing industry focuses, first of all, on highly productive and efficient machinery that meets all modern requirements of agricultural production. This machinery can significantly increase the productivity of agricultural labor and create comfortable working conditions. Digital transformation and digitalization of crop production requires introducing highly intelligent machinery and technologies for crop cultivation into the agro-industrial complex, which, in turn, necessitates requirements for the growth of intellectual abilities of agricultural workers. The current prices for modern machinery and technologies are very high; for many enterprises it is not possible to purchase them, therefore the relevance of state support from federal sources is very necessary. There is a negative trend in the numerical reduction of machinery in the region under study, as a result of which there is an increase in the specific load per unit of machinery, and that leads to accelerated wear. As a result, production volumes in crop growing are being reduced. Calculations show that the degree of exploitation of the combine harvester fleet in the region is slightly higher than that of the tractor fleet, so these trends should be taken into account in the process of planning the volume of investments for their acquisition.
© The Authors, published by EDP Sciences, 2024
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.