| Issue |
BIO Web Conf.
Volume 231, 2026
International Scientific Conference “Fundamental and Applied Scientific Research in the Development of Agriculture in the Far East and Remote Regions: Transforming Agri-Systems through Disruptive Innovation” (AFE-2025)
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|---|---|---|
| Article Number | 00011 | |
| Number of page(s) | 8 | |
| DOI | https://doi.org/10.1051/bioconf/202623100011 | |
| Published online | 10 April 2026 | |
Application of elements of probability theory and mathematical techniques in crop production
Moscow State University of Civil Engineering, Moscow, Russian Federation
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Abstract
The paper is concerned with key aspects of applying probability theory and mathematical techniques to crop production. Special attention is given to simulation of seeding planning using stochastic processes, risk assessment by means of probability distributions, crop yield management on the basis of statistical models, and product quality control involving methods of mathematical statistics. Focus areas are key distributions with examples of their use for seeding planning, plant protection, and drought analysis. Practical algorithms are provided to test hypotheses and simulate regressions. A diagram of precision agriculture is proposed, from data collection through statistics and simulation to evidence-based managerial decisions. The methodology enhances production stability and minimizes losses from uncertainty.
© The Authors, published by EDP Sciences, 2026
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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