| Issue |
BIO Web Conf.
Volume 161, 2025
International Scientific and Practical Conference “Agriculture and Food Security: Technology, Innovation, Markets, Human Resources” (FIES 2024)
|
|
|---|---|---|
| Article Number | 00026 | |
| Number of page(s) | 5 | |
| DOI | https://doi.org/10.1051/bioconf/202516100026 | |
| Published online | 27 February 2025 | |
Application of statistical methods for the agriculture complex using the example of sugar beet production
Voronezh State University of Engineering Technologies, Voronezh, Russia
* Corresponding author: lyudmila_korobova@mail.ru
The paper considers the issue of applying statistical methods that allow processing large technological data. At the initial stage, the technological process of beet sugar production was analyzed. The indicators (more than 40 parameters) were taken, and those that have the greatest influence on the technological process were selected. The values of the main parameters determine the varietal yield (sugar grade). The statistical analysis method was chosen as the main research method. Characteristic samples of 40 parameters were considered, the sample size was 179 values. Two quality parameters that determine the sugar grade were selected. Correlations of the characteristic initial parameters with the parameters of varietal sugar were checked. A mathematical processor was chosen as a tool for conducting the analysis. The Excel program contains almost all the functions and techniques that are missing in application development tools and much more. Statistical characteristics of some of the experimental samples under study are presented. And based on the obtained models, a conclusion was made that the third-order power model adequately describes the experimental data.
© The Authors, published by EDP Sciences, 2025
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.