| Issue |
E3S Web Conf.
Volume 282, 2021
International Conference “Ensuring Food Security in the Context of the COVID-19 Pandemic” (EFSC2021)
|
|
|---|---|---|
| Article Number | 08001 | |
| Number of page(s) | 8 | |
| Section | Training of Specialists for Agriculture, Fisheries, as Well as the Food and Processing Industry | |
| DOI | https://doi.org/10.1051/e3sconf/202128208001 | |
| Published online | 05 July 2021 | |
Justification of the algorithm of personnel selection for the maintenance of automated technological processes in agricultural production
1 North-Caucasian Federal University, Stavropol, Russia
2 Stavropol State Agrarian University, Stavropol, Russia
3 North-Caucasian State Humanitarian and Economic Academy, Cherkessk, Russia
4 Karachay-Cherkess State University n.a. U.D. Aliyev, Cherkessk, Russia
* Corresponding author: kuzmenko.v.v@mail.ru
The current stage of strengthening and development of market relations is characterized by increased competition in all spheres of the economy, including agriculture. To strengthen competitive positions, agricultural producers use high-tech equipment complete with elements of automation and microprocessor technology. Only highly qualified specialists with knowledge in the field of both information technology and agriculture can maintain such equipment and manage its operation. The article presents the justification for the structure and content of the algorithm for performing the professional selection of candidates for specialists in the maintenance of high-tech equipment containing elements and mechanisms of microprocessor technology. A description of a specialized digital platform is given that allows for a formalized assessment of the candidate’s compliance with the requirements for a number of characteristics: qualification coefficient, time spent on managing changes in the system, and response time of the specialist to the tasks set. It is noted that according to the results of the presented development, a certificate of state registration of the computer program was obtained.
© 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.
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