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AI as a Breakthrough Technology of Agriculture Development

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Book cover Artificial Intelligence: Anthropogenic Nature vs. Social Origin (ISC Conference - Volgograd 2020)

Abstract

Purpose: The purpose of the work is to evaluate the current changes in the structure of the national economic systems as a result of transition to intellectual technologies of managing production processes in various spheres of public life. The authors pay attention to specific features of development of the modern agriculture in the conditions of the growing threat of food deficit.

The problem of growth of population of the Earth dictates the necessity for intensification of production of food products by the spheres of agriculture. The production areas are stable, so it is necessary to look for new innovative means of production, which allow for maximum reduction of the cost and increase of the volumes of the manufactured products. The course at informatization of all spheres of public life via implementation of digital tools and mechanisms is aimed at development of hidden potentials and reserves of the existing traditional means and solutions of the problems. Application of digital technologies allows for a new reproduction cycle, exclusion of irrational solutions, and more precise modeling of the tactic and strategy of development of the events.

According to the set goal, the authors strive to solve the following tasks: assessment of the level of modern development of the Russian agricultural sphere in view of the tendencies of formation of the information society and information economy, which emphasizes the importance of modernizing the traditional sphere; distinguishing the main intellectual solutions of the problems of intensification of agricultural production; paying attention to absence of the normative and legal regulation; determining the directions of development of the Russian law; analyzing all stages of the agricultural cycle and determining the possibilities of rationalization of the whole process – from preparation to realization of finished products.

Separate attempts of Russian farmers to implement new tools do not provide a significant effect – as there’s a need for systemic planning and state support for digitization. The work in this direction is conducted by the Ministry of Agriculture of the Russian Federation, with a project of the state program “Digital agriculture” and a road map FoodNet (Smart agriculture) in development.

Methodology: The authors use the methods of normative and legal analysis and evaluation of the modern situation in the sphere of state management of the national economic system, content analysis, statistical analysis, formalization, and analogy.

Results: In view of transition to the Fourth industrial revolution, the traditional systems of interaction and organization of production lose their topicality and become uncompetitive. For increasing the competitiveness in the Russian and global markets, companies of various spheres have to observe the modern tendencies and perform modernization of the production basis and the system of management through implementation of technologies based on AI. The companies of the agricultural sphere perform a search and approbation of various intellectual technologies and receive positive results of their application – which influences the profitability level. The authors of this work perform an overview of the most popular technologies of intellectual management of production and make conclusions on the necessity of full-scale implementation of such systems.

Conclusions: The specific feature of this work consists in systematization and complex substantiation of the current processes of implementation of AI technologies in the spheres of the agro-industrial complex.

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Acknowledgments

The reported study was funded by RFBR according to the research project No. 18-010-00103 A.

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Correspondence to Gilyan V. Fedotova .

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Fedotova, G.V., Ilyasov, R.H., Buletova, N.E., Yakushkina, T.A., Kurbanov, T.K. (2020). AI as a Breakthrough Technology of Agriculture Development. In: Popkova, E., Sergi, B. (eds) Artificial Intelligence: Anthropogenic Nature vs. Social Origin. ISC Conference - Volgograd 2020. Advances in Intelligent Systems and Computing, vol 1100. Springer, Cham. https://doi.org/10.1007/978-3-030-39319-9_44

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