V.I. Medennikov1, P.A. Keyer2

1,2 Federal Research Center «Computer Science and Control» of the RAS (Moscow, Russia)
1 dommed@mail.ru; 2 pkeyer@frccsc.ru

The work examines the integration mechanisms of technologies for the formation of optimal crop rotations and logistics technologies, reflecting two of the main principles of the digital economy that have emerged in the world in recent years in countries that are actively implementing the digital transformation of the real economy: the transition in this process to an information management system in which their rational integration into a single structured space, as well as the rethinking of management technologies in manufacturing industries that are complementary in nature with new opportunities for obtaining data. It is shown that, although all technological processes in agriculture are determined by scientifically based crop rotations and must be informationally and algorithmically integrated, however, widespread non-compliance with crop rotations in the country has led to the fact that the digital technologies offered by the market lack just models for optimizing their structure, as well as associated optimal digital logistics technologies as a connecting link of all factors in the formation of crop rotations, such as suppliers of products from the fields; intermediate storage points: silos, haylage towers, grain storage (granary), warehouses; consumers of products in the form of livestock farms, elevators, feed mills, processing plants, retail chains; transport companies. The relevance of logistics optimization is also confirmed by the huge costs of logistics in Russia, amounting to about 20% of the country's GDP, which is more than 2.5 times higher than costs in the EU. To take into account logistics in the formation of optimal crop rotations, a mathematical model is proposed that allows for geographic reference of the obtained promising crop rotations.

Medennikov V.I., Keyer P.A. Geographical reference of the formation of promising crope rotations based on a mathematical model of management of the production and logistics chain of plant products. Highly Available Systems. 2023. V. 19. № 4. P. 73−81. DOI: https://doi.org/ 10.18127/j20729472-202304-06 (in Russian)

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