Evaluating the effectiveness of precision farming technologies in the activities of agricultural enterprises

Authors

DOI:

https://doi.org/10.15587/1729-4061.2024.298478

Keywords:

efficiency of agricultural enterprises, yield of agricultural crops, smart agribusiness, precision farming technologies

Abstract

This paper describes approaches to improving the efficiency of agricultural enterprises. It has been established that the use of technology transfer, in particular, precision farming technologies, makes it possible to enhance the efficiency of agricultural enterprises, in particular, to increase the yield of agricultural crops and, accordingly, to improve the profitability of enterprises. As an example, the activities of agricultural enterprises in the Republic of Kazakhstan were analyzed. The share of agricultural enterprises in the Republic of Kazakhstan that use elements of precision farming technology in their activities was determined. It was established that since 2019, the use of precision farming technologies in the activities of agricultural enterprises in the Republic of Kazakhstan has intensified. At the same time, from 60 to 75 % of enterprises already use elements of precision farming technologies in their activities. Using crop yield data for the past 32 years, estimates of the effectiveness of using precision farming technologies by agro-enterprises in the Republic of Kazakhstan were constructed based on forecasting yield indicators using the linear-weighted moving average method. The efficiency of using precision farming technologies in the activities of agricultural enterprises in the Republic of Kazakhstan in 2022 reached 8.46 %, and the average efficiency for the period 2019–2022 was 4.21 %. Therefore, the use of precision farming technologies makes it possible to improve the validity of decision-making in the management of an agricultural enterprise and to obtain a higher profit from the sale of produced agricultural products for any agricultural enterprise in the world. On average, the results allow us to estimate the possible profit of an agro-enterprise when growing agricultural crops in the case of using precision farming technology

Author Biographies

Alexandr Neftissov, Astana IT University

PhD, Associate Professor

Research and Innovation Center "Industry 4.0"

Andrii Biloshchytskyi, Astana IT University; Kyiv National University of Construction and Architecture

Doctor of Technical Sciences, Professor

Vice-Rector of the Science and Innovation

Department of Information Technology

Yurii Andrashko, Uzhhorod National University

PhD, Associate Professor

Department of System Analysis and Optimization Theory

Oleksandr Kuchanskyi, Astana IT University

Doctor of Technical Sciences, Professor

Department of Computational and Data Science

Volodymyr Vatskel, Kyiv National University of Construction and Architecture

Senior Lecturer

Department of Information Technologies

Sapar Toxanov, Astana IT University

PhD, Director of Center

Center of Competency and Excellence

Myroslava Gladka, Taras Shevchenko National University of Kyiv; National Technical University of Ukraine "Ihor Sikorsky Kyiv Polytechnic Institute"

PhD, Associate Professor

Department of Information Systems and Technology

Department of Biomedical Cybernetics

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Evaluating the effectiveness of precision farming technologies in the activities of agricultural enterprises

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Published

2024-02-28

How to Cite

Neftissov, A., Biloshchytskyi, A., Andrashko, Y., Kuchanskyi, O., Vatskel, V., Toxanov, S., & Gladka, M. (2024). Evaluating the effectiveness of precision farming technologies in the activities of agricultural enterprises. Eastern-European Journal of Enterprise Technologies, 1(13 (127), 6–13. https://doi.org/10.15587/1729-4061.2024.298478

Issue

Vol. 1 No. 13 (127) (2024): Transfer of technologies: industry, energy, nanotechnology

Section

Transfer of technologies: industry, energy, nanotechnology

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Copyright (c) 2024 Alexandr Neftissov, Andrii Biloshchytskyi, Yurii Andrashko, Oleksandr Kuchanskyi, Volodymyr Vatskel, Sapar Toxanov, Myroslava Gladka

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