Разработка алгоритмов решения задач оптимизации производства для программного обеспечения системы поддержки принятия решений в сельском хозяйстве
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Научный журнал Моделирование, оптимизация и информационные технологииThe scientific journal Modeling, Optimization and Information Technology
Online media
issn 2310-6018

Development of the algorithms for solving production optimization problems for the software of the decision support system in agriculture

Rakhmatullin R.R.   Speshilov E.A.   Chumakov A.A.  

UDC 004.8:631.1
DOI: 10.26102/2310-6018/2023.42.3.012

  • Abstract
  • List of references
  • About authors

Agricultural administration in the context of the digital transformation of the economy is becoming more important when ensuring the competitive advantages of our country, especially taking into account the challenges of the modern geopolitical situation. The introduction of various kinds of innovations requires prompt actions in order to facilitate the development of domestic technical, technological and information products. The article deals with the issue of automation of decision support in the management of agriculture subsystems by means of a developed software product with adaptive characteristics that does not require additional digital and qualification resources. Methods of system analysis, logical approach and synthesis, optimization, algorithmization, etc., were used. Official statistical data were used, which made it possible to present the dynamics of a number of indicators (acreage and yield of fodder crops, number of cows and milk production, etc.) of agricultural production in Russia for the period 2017–2021. The conclusion is made about the intensification of production activities in the field of dairy cattle breeding. Special attention is paid to the development of algorithms and their software implementation with a view to adjusting the diet of dairy cows with consideration to scientifically based requirements, breed restrictions, norms, etc. Flowcharts for designing a user interface and functions for calculating the required amount of minerals, algorithms for calculating energy and protein requirements are given. Developed in Python, the program takes into account the selected parameters for calculating the productive feeding ration of cows and is an integral part of the intellectual system being developed. By means of simulation, it helps to choose the most suitable values of output parameters for their further use in the form of numerical restrictions when solving the problem of minimizing the cost of the feeding ration by linear programming methods. The program has a universal character regarding the introduction and use by agricultural producers, provides automation of the decision support system and does not require additional time-consuming training of decision makers who aim to achieve the efficiency of domestic agriculture performance.

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Rakhmatullin Rustam Ravilevich
Candidate of Technical Sciences Associate Professor

eLibrary |

Orenburg State University

Orenburg, the Russian Federation

Speshilov Evgeny Alekseyevich

eLibrary |

Orenburg State University
The Orenburg Branch of the Institute of Economics of the Ural Branch of the Russian Academy of Sciences

Orenburg, the Russian Federation

Chumakov Aleksandr Alekseyevich

Orenburg State University

Orenburg, the Russian Federation

Keywords: algorithm development, optimization problems, agricultural administration, decision support system, dairy cattle breeding, feeding ration, decision-maker, flowchart, program

For citation: Rakhmatullin R.R. Speshilov E.A. Chumakov A.A. Development of the algorithms for solving production optimization problems for the software of the decision support system in agriculture. Modeling, Optimization and Information Technology. 2023;11(3). Available from: https://moitvivt.ru/ru/journal/pdf?id=1410 DOI: 10.26102/2310-6018/2023.42.3.012 (In Russ).


Full text in PDF

Received 20.06.2023

Revised 27.07.2023

Accepted 09.08.2023

Published 10.08.2023