JEL Classification: O33; Q 16; Q 13; С63. | DOI: https://doi.org/10.31521/modecon.V47(2024)-19 |
Shevchenko Alіsa, Candіdate of Economіc Scіences, Assocіate Professor of the Department of Economіc Theory and Economіcs of Enterprіses, Odessa State Agrarіan Unіversіty, Odessa, Ukraіne
ORCID ID: 0000-0002-3581-7884
e-mail: alіsochka1978@gmaіl.com
Petrenko Olga, Candіdate of Economіc Scіences, Assocіate Professor of the Department of Economіc Theory and Economіcs of Enterprіses, Odessa State Agrarіan Unіversіty, Odessa, Ukraіne
ORCID ID: 0000-0001-9722-3785
e-mail: Leka_m@ukr.net
Kosyk Dmytro, master of specialty 051 “Economics, Odessa State Agrarіan Unіversіty, Odessa, Ukraіne
Artificial Intelligence in Crop Production: Successful Cases of Agricultural Enterprises
Abstract. Introduction. In the conditions of unstable political and economic situation in Ukraine, as well as the effects of global climate changes, agricultural production needs modern tools to increase production efficiency and adapt to new conditions. Active cooperation of scientists and farmers in the search for optimal solutions is the driving force of maximum efficiency of business activity. Artificial intelligence offers promising answers to these problems and is a potential assistant in the process of agricultural production. Such technologies can significantly increase the efficiency of management in agricultural enterprises, provide accurate weather forecasting, automation of soil and plant condition monitoring processes, as well as optimization of resource use.
Purpose. The purpose of the article is to analyze and study successful practical cases of use of artificial intelligence in crop production by world leaders and to determine the potential for implementation of AI elements in Ukrainian agricultural enterprises.
Results. Areas of application of artificial intelligence in agriculture are highlighted. The study of successful cases of implementation of artificial intelligence in the agricultural sector of the leading countries of the world and in large Ukrainian agricultural enterprises was conducted. Differences between the use of artificial intelligence by Ukrainian enterprises and world leaders are highlighted. According to the results of the SWOT analysis, the key factors of the introduction of artificial intelligence in the Ukrainian agricultural sector are outlined. It is noted that Ukraine has made significant progress in the implementation of artificial intelligence in the agricultural sector, which contributes to increasing the efficiency of agricultural production. Despite all these results, Ukraine is still on the way to reach the level of world leaders in this field. Measures have been identified that will allow the Ukrainian agricultural sector to become competitive at the global level.
Conclusions. Artificial intelligence is becoming an integral part of modern crop production, opening new opportunities to increase efficiency, reduce costs and ensure sustainable development of the agricultural sector. Successful cases, both at the global level and in Ukraine, demonstrate that the implementation of AI helps to solve key challenges in agriculture. The implementation of AI technologies will be a key factor in ensuring the competitiveness of the agricultural sector in the future.
Keywords: artificial intelligence; agricultural enterprises; innovative technologies; successful cases; startups; international project; potential.
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Received: 20 October 2024
How to quote this article? |
Shevchenko A., Petrenko O., Kosyk D. (2024). Artificial Intelligence in Crop Production: Successful Cases of Agricultural Enterprises . Modern Economics, 47(2024), 130-137. DOI: https://doi.org/10.31521/modecon.V47(2024)-19. |