Mathematical models of agricultural production management in high risk environments
Yaroslav Ivanyo, Nina Fedurina, Zhanna Varanitsa-Gorodovskaya
Source record
Source: Crossref
Published: Jan 1, 2020
DOI: 10.1051/e3sconf/202022201018
Open original source ↗Source abstract
The paper presents an algorithm for modeling the production of agricultural products in the formation of agrometeorological events. Stochastic models of variability of downpours, early snow-fall and crop yields are constructed to assess the likelihood of extreme events. Based on a probabilistic assessment of crop bio-productivity by a normative method, economic losses from agrometeorological events are determined. A model for optimizing crop production taking into account natural risks was built and implemented for an agricultural organization. The results were obtained according to data of the Irkutsk district.
Evidence graph
No public relationships recorded yet.
Integrity note: This page is a factual metadata record created by deterministic ingestion. It is not a claim that the work moves a mathematical frontier or has been independently verified.