| Issue |
E3S Web of Conf.
Volume 381, 2023
International Scientific and Practical Conference “Development and Modern Problems of Aquaculture” (AQUACULTURE 2022)
|
|
|---|---|---|
| Article Number | 01082 | |
| Number of page(s) | 9 | |
| Section | Agriculture, River Ecosystems and Environment | |
| DOI | https://doi.org/10.1051/e3sconf/202338101082 | |
| Published online | 14 April 2023 | |
Mathematical modeling in the agro-industrial complex: basic problems and models construction
1 Don State Technical University, Gagarin Sq.1, Rostov-on-Don, 344003, Russia
2 FSBSI “ARC “Donskoy”, Nauchny Gorodok Str.3, Zernograd, 347740, Russia
* Corresponding author: oav.donstu@gmail.com
Currently, information technologies have been tightly integrated into agriculture. Since no computer calculations are possible without a powerful mathematical apparatus, the question arises about the possibility of modeling the processes occurring in agriculture with the help of modern achievements of science and technology. The present study is devoted to the existing methods of mathematical modeling in agriculture in relation to the applied aspects of agriculture. The aim of the research is to develop a critical approach to modern developments in the field of mathematical modeling and their place in agriculture. It is shown that the introduction of mathematical models based on modern scientific knowledge contributes to the optimization of agricultural processes and increasing the efficiency of any farm. Based on statistical studies, it is shown that among all branches of agriculture, mathematical methods are most often used in economic calculations, least of all, in calculations related to farm modeling. This is explained both by the complexity of modeling all processes occurring within a single farm, and by the loss of accuracy, which increases with the complexity of the system model.
Key words: Mathematical modeling / programming / smart agriculture / agro-industrial complex
© The Authors, published by EDP Sciences, 2023
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.