| Issue |
BIO Web Conf.
Volume 17, 2020
International Scientific-Practical Conference “Agriculture and Food Security: Technology, Innovation, Markets, Human Resources” (FIES 2019)
|
|
|---|---|---|
| Article Number | 00002 | |
| Number of page(s) | 5 | |
| DOI | https://doi.org/10.1051/bioconf/20201700002 | |
| Published online | 28 February 2020 | |
An approach to automation of a rational choice of adaptive agricultural technologies
1
Kursk Federal Agricultural Research Center, ARRIAFSEC, 305021 Kursk, Russia
2
Southwest State University, Department of IT and new entrants, 305040 Kursk, Russia
* Corresponding author: aipykhtin@swsu.ru
The research was conducted at the premises of the agricultural systems laboratory on the basis of research findings and analysis and generalization of modern scientific literature on a rational choice of adaptive technologies for cultivation of 10 crops (wheat, barley, rye, peas, millet, etc.) for different conditions in Russia. The most effective conditions for technologies application facilitating the efficient use of available resources were determined. Criteria, standards and requirements for the efficiency of the most important technological techniques of modern agricultural technologies were posed, as well as approaches to automation and an algorithm for their rational choice. The scheme and structure of the database of the agricultural producer support system for a rational choice of highly profitable adaptive technologies for leading grain crops cultivation were developed. The structure of the database of the decision support system is represented in three units: initial information, regulatory and reference information and calculation algorithms. The implementation of the developments into the production process opens up opportunities for the most efficient use of the existing soil and climate potential of the territories and material and technical resources in order to ensure highly profitable sustainable crops yields.
© The Authors, published by EDP Sciences, 2020
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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