Abstract
The use of innovations, including digital technologies, is the main condition to provide for promotion of competitiveness under conditions of global challenges and threats. Russian agribusiness industry demonstrates a steady growth in production volumes and dynamic digitalization. The author aims to determine the features, problems and prospects of digital farming based on the analysis of the current innovation and digitalization processes in the agribusiness of the Russian Federation. Due to the methods of theoretical and economics and statistics analysis, it was revealed that despite some positive trends, Russian agricultural industry is characterized by a low level of innovation activity and a limited distribution of digital technologies, since they are more widely implemented in large agricultural enterprises and holdings. At the same time, the socio-economic conditions during the COVID-19 pandemic have become a powerful incentive for all manufacturers to introduce elements of digitalization in food production and marketing processes. The analysis of the domestic and global experience on digital innovations allowed the author to identify promising areas that contribute to provide all commercial farm units in the agribusiness industry with digital technologies, stimulate digitalization processes and increase the efficiency and environmental friendliness of the agricultural sector of economy.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Abdrakhmanova, G.I., Vishnevsky, K.O., Gokhberg, L.M., Demidkina, O.V., Demyanova, A.V., Kovaleva, G.G., Kotsemir, M.N., Kuznetsova, I.A., Leven, E.I., Ozerova, O.K., Polyakova, V.V., Ratay, T.V., Pyzhikova, Z.A., Streltsova, E.A., Suslov, A.B., Utyatina, K.E., Fridlyanova, SYu., Fursov, K.S., Shugal, N.B.: Digital Economy: 2021: Brief Statistical Book. Higher School of Economics National Research University, Moscow (2021)
CRN: Combine harvesters with artificial intelligence collected 720,000 tons of crop. URL: https://www.crn.ru/news/detail.php?ID=149731. Accessed: 25.03.2021 (2020)
CRN: Digital agro, agrosignal and cognitive pilot companies will build an agroecosystem for commercial farm units’ digitalization. URL: https://www.crn.ru/news/detail.php?ID=146409. Accessed: 25.03.2021 (2020)
Federal State Statistics Service: Agricultural industry, hunting, and forestry. URL: https://rosstat.gov.ru/enterprise_economy. Accessed: 20.03.2021 (2021)
Federal State Statistics Service: Science, innovations, and information society. URL: https://rosstat.gov.ru/folder/14477. Accessed: 20.03.2021 (2021)
Gokhberg, L.M., Ditkovsky, K.A., Evnevich, E.I., Kotsemir, M.N., Kuznetsova, I.A., Martynova, S.V., Nefedova, A.I., Polyakova, V.V., Ratai, T.V., Rosovetskaya, L.A., Rud, V.A., Sagieva, G.S., Streltsova, E.A., Suslov, A.B., Tarasenko, I.I., Fridlyanova, S.Yu., Fursov, K.S.: Science. Know-how. Innovations: 2021: Brief Statistical Book. Higher School of Economics National Research University, Moscow (2021)
Gusakova, E.P., Shchutskaya, A.V., Afanaseva, E.P.: Digital technologies as a tool for solving basic industrial problems in the agro-industrial complex. In: Ashmarina, S., Vochozka, M., Mantulenko, V. (eds.) Digital Age: Chances, Challenges and Future. Lecture Notes in Networks and Systems, vol. 84, pp. 172–179. Springer, Cham (2020)
Marshall, A., Dezuanni, M., Burgess, J., Thomas, J., Wilson, C.K.: Australian farmers left behind in the digital economy—insights from the Australian digital inclusion index. J. Rural. Stud. 80, 195–210 (2020)
Mishurov, N.P., Golubev, I.G., Goltyapin, V.Y., Kondratieva, O.V., Voityuk, M.M., Fedorov, A.D., Konovalenko, LYu., Slinko, O.V., Nemenuschaya, L.A., Kuzmina, T.N., Shchegolikhina, T.A., Marinchenko, T.E., Kolchina, L.M., Shvanskaya, I.A., Voityuk, V.A., Bolotina, M.N., Goryacheva, A.V.: Predictive and Analytical Support of Innovative Development in the Field of Agriculture. Rosinformagrotekh, Moscow (2019)
Prause, L., Hackfort, S., Lindgren, M.: Digitalization and the third food regime. Agric. Human Values (2020). https://doi.org/10.1007/s10460-020-10161-2.Accessed:22.03.2021
Regan, Á.: ‘Smart farming’ in Ireland: a risk perception study with key governance actors. NJAS Wageningen J. Life Sci. 90–91, 100292 (2019)
Shchutskaya, A.V.: Innovations as a factor of agriculture development in Russia. In: Ashmarina, S.I., Horák, J., Vrbka, J., Šuleř, P. (eds.) Economic Systems in the New Era: Stable Systems in an Unstable World. IES 2020. Lecture Notes in Networks and Systems, vol. 160, pp. 441–449. Springer, Cham (2021)
Skvortsov, E.A.: Prospects of applying artificial intelligence technologies in regional agriculture. Econ. Reg. 16(2), 563–576 (2020)
Truflyak, E.V.: Regional Rating on the Use of Precision Agriculture. Kuban State Agrarian University, Krasnodar (2020)
Walter, A., Finger, R., Huber, R., Buchmann, N.: Opinion: smart farming is key to developing sustainable agriculture. Proc. Natl. Acad. Sci. 114(24), 6148–6150 (2017)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Shchutskaya, A.V. (2022). Digital Innovations in Agribusiness Industry in the Russian Federation. In: Ashmarina, S.I., Mantulenko, V.V. (eds) Digital Technologies in the New Socio-Economic Reality. ISCDTE 2021. Lecture Notes in Networks and Systems, vol 304. Springer, Cham. https://doi.org/10.1007/978-3-030-83175-2_49
Download citation
DOI: https://doi.org/10.1007/978-3-030-83175-2_49
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-83174-5
Online ISBN: 978-3-030-83175-2
eBook Packages: EngineeringEngineering (R0)