Models for increasing productivity based on the integrated application of agricultural digital twins
https://doi.org/10.31677/2072-6724-2023-69-4-96-107
Abstract
The operating conditions of the Russian agro-industrial complex today are characterised by unfair competition in global markets and objective transformation processes. Changes in agricultural production technologies and the digitalisation of all production areas require a restructuring of the work of farming organisations. At the same time, the indicated structural changes at the level of agricultural producers should be based on an analysis of objective production and economic indicators: yield and profitability.
The purpose of the study is to model the process of increasing the yield of grain crops due to the use of digital twins in various areas of agricultural production.
Research objectives: to identify models for the use of digital twins in the production of grain crops; develop introductory methodological provisions for creating a digital twin of agricultural specialisation; outline the current and future role of digital twins in agricultural production.
Scientific novelty and practical significance of the research results: models for the use of digital twins of agricultural specialisation at the stages of the production process and infrastructure sectors for its support have been developed; conceptual provisions of methodological recommendations for the development of digital twins of agricultural specialisation have been formulated; the current and future significance of digital twins in the process of increasing grain yields has been determined, as well as the prospects for their use in the agricultural sector.
About the Authors
R. K. Rasulov
Federal Scientific Agroengineering Center Russian Research Institute of Agricultural Mechanization (RRIAM)
Russian Federation
Russian Federation
Junior researcher
Moscow
A. K. Lamm
Federal Scientific Agroengineering Center Russian Research Institute of Agricultural Mechanization (RRIAM)
Russian Federation
Russian Federation
PhD student, Junior researcher
Moscow
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Review
For citations:
Rasulov R.K., Lamm A.K. Models for increasing productivity based on the integrated application of agricultural digital twins. Bulletin of NSAU (Novosibirsk State Agrarian University). 2023;(4):96-107. (In Russ.) https://doi.org/10.31677/2072-6724-2023-69-4-96-107
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