| Issue |
E3S Web Conf.
Volume 392, 2023
II International Conference on Agriculture, Earth Remote Sensing and Environment (RSE-II-2023)
|
|
|---|---|---|
| Article Number | 01025 | |
| Number of page(s) | 8 | |
| Section | Issues of Sustainable Development of Agriculture | |
| DOI | https://doi.org/10.1051/e3sconf/202339201025 | |
| Published online | 06 June 2023 | |
Modeling the development of agricultural production by cluster analysis
Bashkir State Agrarian University, 34, 50th anniversary of October street, Ufa, Republic of Bashkortostan, 450001, Russian Federation
* Corresponding author: lubova@list.ru
The article carried out a multidimensional grouping of the regions of the Central and Volga Federal Districts of the Russian Federation according to indicators characterizing the state and development of agricultural production. The cluster analysis method was applied twice: when constructing a system of indicators for grouping regions and when combining regions into clusters. This approach made it possible to enhance the practical significance of the study, made it possible to objectively analyze and formulate reasonable specific conclusions and recommendations for the regions of each cluster. As a result, four groups (clusters) of indicators and three clusters of regions were identified according to the level of development of agricultural production.
© 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.
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