Open AccessOptimization models of agricultural production with heterogeneous land resources
Author(s) -
Ya. M. Ivanyo,
Sofia Petrova,
Marina Polkovskaya
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1989/1/012041
Subject(s) - hydrometeorology , agriculture , arable land , production (economics) , agricultural productivity , yield (engineering) , precision agriculture , agricultural land , environmental science , agricultural engineering , computer science , economics , meteorology , geography , microeconomics , precipitation , materials science , archaeology , engineering , metallurgy
The paper identifies information that takes into account the heterogeneity of agricultural land on the basis of the use of a precision farming system and geographic information technologies. The tasks of optimizing the production of agricultural products are formulated, describing the heterogeneity of land resources, for averaged and extreme weather and climatic conditions. These models are implemented for an agricultural enterprise in the Irkutsk region. Two variants of the problem are considered: with deterministic and stochastic parameters. As a random variable, the problem uses the crop yield corresponding to the probability of a drought that occurred in the region in 2015. According to the calculations, the use of various technologies of precision farming, taking into account the heterogeneity of arable land, makes it possible to increase the income of the enterprise, reducing the dispersion of the coefficients included in the optimization model agricultural production. At the same time, it is possible to reduce the risks associated with extreme hydrometeorological events, in particular, with drought