Information technologies in agriculture of Northern Kazakhstan: advantages, reserves
https://doi.org/10.46666/2024-3.2708-9991.08
Abstract
Ensuring sustainable development of the agrarian sector of the economy requires the integrated use of digitalization technologies. The aim is to show the current trends in the application of information technologies in agriculture in Northern Kazakhstan and to determine the conditions necessary for the introduction of modern digital infrastructure.
Methods - system-structural, economicstatistical, comparative analysis, mathematical and system-functional approaches to the study of the use of information and communication technologies by agribusiness of agricultural profile.
Results - the authors analyzed the scope of application of digital processes in the region. The factors influencing the use of modern digital technologies in the cultivation of agricultural land have been outlined. The dependence of the application of precision farming elements on the farm size is revealed. The calculation of economic efficiency of reference and information systems of production management is presented. Measures to overcome obstacles and mitigate the limitations of digital transformation in agriculture in the northern territories of the republic are proposed.
Conclusions - based on the study it is noted that the spread of digital innovations is from 18 to 55% of the total sown area. When comparing the average land size of economic entities that implement information technologies with other farms, it was found that digital solutions in crop production are primarily available to large and medium-sized agroformations that have the financial capacity and qualified specialists for digitalization. The survey of respondents allowed us to express an opinion on the influence of the size, technical equipment and economic stability of an agro-industrial enterprise on the use of modern farming systems, as well as the level of awareness of agro-entrepreneurs about new technologies. The use of digital platforms in the crop production industry is a key element that contributes to increasing the economic efficiency of the agro-industrial complex.
About the Authors
M. Sh. BauerKazakhstan
Bauer Maira Shakibaevna; Doctor of Economic Sciences, Professor
010011 Zhenis Ave., 62, Astana
B. Zh. Bekeshev
Kazakhstan
Bekeshev Baurzhan Zhaugashevich – The main author; Leading Economist
021601 Baraev str., 15, Nauchny Village, Shortandinsky District, Akmola Region
A. B. Temirova
Kazakhstan
Temirova Akmaral Bolatovna; Candidate of Economic Sciences, Associate Professor
010011 Zhenis Ave., 62, Astana
References
1. Gosudarstvennaya programma «Tsifrovoi Kazakhstan» [State program "Digital Kazakhstan"] (2022). Available at: https://www.adilet.zan.kz/rus/docs/P1700000827 (date of access: 11.03.2024) [in Russian].
2. Ayerdi Gotor, A., Marraccini, E.E., Leclercq, Ch., Scheurer, O. (2020). Precision farming uses typology in arable crop-oriented farms in northern France. Precision Agriculture, 21(1), 131-146. Available at: https://hal.science/hal02365519/document [in English].
3. Gabriel, A., Gandorfer, M. (2023). Adoption of digital technologies in agriculturean inventory in a European small-scale farming region. Precision Agriculture, 1, 68-91. Available at: https://DOI:10.1007/s11119-022-09931-1 [in English].
4. Maloku, D. (2020). Adoption of precision farming technologies: USA and EU situation. SEA - Practical Application of Science, 8(22), 7-14. Availale at: https://ideas.repec.org/a/cmj/seapas/y2020i22p7-14.html [in English].
5. Nurmukametov, N.N., Bauer, M.Sh., Moldakenova, Е.К. (2022). Information and marketing support competitiveness agricultural cooperatives. Problems of AgriMarket, 1(1), 160-169. Available at: https://doi.org/10.46666/2022-1.2708-9991.19 [in English].
6. Lee, C.L., Strong, R., Dooley, K.E. (2021). Analyzing precision agriculture adoption across the globe: A systematic review of scholarship from 1999–2020. Sustainability, 13(18), 10295. Available at: https://www.mdpi.com/2071-1050/13/18/10295 [in English].
7. Shajtura, S.V., Shved, E.V., Nedel'kin, A.A. Sivchenko, C.B. Minitaeva, A.M. (2022). Upravlenie processom razvitija sistem tochnogozemledelija v sel'skom hozjajstve [Managing the development of precision farming systems in agriculture] Vestnik Kurskoj gosudarstvennoj sel'skohozjajstvennoj akademii - Bulletin of the Kursk State Agricultural Academy, 5, 28-34. Available at: https://cyberleninka.ru/article/n/upravlenie-protsessom-razvitiya-sistem-tochnogozemledeliya-v-selskom-hozyaystve [in Russian].
8. Kunanbayev, K., Scoblikov, V., Solovyov, O., Tulayev, Y., Churkina, G., Zueva, N, Bekeshev, B. (2024). Influence of Sowing Dates, Soil Fertility and Crop Rotation System on Increasing the Yield Level of Various Varieties of Spring Wheat (Triticum Aestivum L.). Online Journal of Biological Sciences, 24(1), 1-8. Available at: https://doi.org/10.3844/ojbsci.2024.1.8 [in English].
9. Nehrey, M., Zomchak, L. (2022). Digital technology: emerging issue for agriculture. The International Conference on Artificial Intelligence and Logistics Engineering. Cham: Springer International Publishing, 146-156. Available at: https://DOI:1007/978-3-031-04809-8_13 https://link.springer.com/chapter/10.1007/978-3-031-04809-8_13 [in English].
10. Ryskeldi, O., Shelomenceva, V.P., Narynbaeva, A.S. (2023). Razvitie APK na osnove cifrovizacii: zarubezhnyj opyt [Development of the agro-industrial complex based on digitalization: foreign experience]. Problemy agrorynka - Problems of AgriMarket,1 (1), 32-40. Available at: https://doi.org/10.46666/2023-1.2708-9991.03 [in Russian].
11. Pashkov, S.V., Mazhitova, G.Z. (2021). Cifravizacija zemledelija v Kazahstane: regional'nyj opyt [Digitalization of agriculture in Kazakhstan: regional experience]. Geograficheskij vestnik, 4(59), 27-41. Available at: https://doi.org/10.17072/2079-7877-2021-4-27-41 [in Russian].
12. Roy, T., George, K.J. (2020). Precision farming: A step towards sustainable, climatesmart agriculture. Global climate change: Resilient and smart agriculture, 358. Available at: https://doi.org/10.1007/978-981-32-9856-9_10 [in English].
13. Erickson, B., Fausti, S.W. (2021). The role of precision agriculture in food security. Agronomy Journal, 6, 4455-4462. Available at: https://digital-commons.csumb.edu/cgi/view-con-tent.cgi?artcle=1025&context=cob_fac [in English].
14. Fantin Irudaya Raj, E., Appadurai, M., Athiappan, K. (2020). Precision farming in modern agriculture. Smart Agriculture Auto-mation Using Advanced Technologies: Data Ana-lytics and Machine Learning, Cloud Architecture, Automation and IoT. – Singapore: Springer Singapore, 228. Available at: https://doi.org/10.1007/978-981-16-6124-2_4 [in English].
15. Munz, J., Schuele, H. (2022). Influencing the success of precision farming technology adoption. A model-based investi-gation of economic success factors in small-scale agriculture. Agriculture, 11, 1773. Availale at: https://doi.org/10.3390/agriculture12111773 [in English].
16. Vecchio, Y., Agnusdei, G. P., Miglietta, P.P., Capitanio, F. (2020). Adoption of precision farming tools: The case of Italian farmers. International journal of environmental research and public health, 3, 869-885. Available at: https://doi.org/10.3390/ijerph17030869 [in English].
17. Jakushev, V.V. (2016). Tochnoe zemledelie: teorija i praktika [Precision farming: theory and practice]. St. Petersburg: FGBNUAFI, 364 [in Russian].
Supplementary files
Review
For citations:
Bauer M.Sh., Bekeshev B.Zh., Temirova A.B. Information technologies in agriculture of Northern Kazakhstan: advantages, reserves. Problems of AgriMarket. 2024;(3):89-99. (In Russ.) https://doi.org/10.46666/2024-3.2708-9991.08