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{"id":19592,"date":"2024-12-09T22:03:15","date_gmt":"2024-12-09T20:03:15","guid":{"rendered":"https:\/\/modecon.mnau.edu.ua\/?p=19592"},"modified":"2024-12-10T11:46:12","modified_gmt":"2024-12-10T09:46:12","slug":"artificial-intelligence-in-crop-production","status":"publish","type":"post","link":"https:\/\/modecon.mnau.edu.ua\/en\/artificial-intelligence-in-crop-production\/","title":{"rendered":"Shevchenko A., Petrenko O., Kosyk D. Artificial Intelligence in Crop Production: Successful Cases of Agricultural Enterprises"},"content":{"rendered":"

[vc_row][vc_column][vc_column_text]<\/p>\n\n\n\n
JEL Classification: <\/strong>O33; Q 16; Q 13; \u042163.<\/em><\/span><\/td>\nDOI<\/b>: https:\/\/doi.org\/10.31521\/modecon.V47(2024)-19<\/a><\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

[\/vc_column_text][vc_column_text]Shevchenko Al\u0456sa, <\/strong>Cand\u0456date of Econom\u0456c Sc\u0456ences, Assoc\u0456ate Professor of the Department of Econom\u0456c Theory and Econom\u0456cs of Enterpr\u0456ses, Odessa State Agrar\u0456an Un\u0456vers\u0456ty, Odessa, Ukra\u0456ne<\/p>\n

ORCID ID:<\/strong> 0000-0002-3581-7884<\/a>
\ne-mail: <\/strong>al\u0456sochka1978@gma\u0456l.com<\/a><\/p>\n

[\/vc_column_text][vc_column_text]Petrenko Olga, <\/strong>Cand\u0456date of Econom\u0456c Sc\u0456ences, Assoc\u0456ate Professor of the Department of Econom\u0456c Theory and Econom\u0456cs of Enterpr\u0456ses, Odessa State Agrar\u0456an Un\u0456vers\u0456ty, Odessa, Ukra\u0456ne<\/p>\n

ORCID ID:<\/strong> 0000-0001-9722-3785<\/a>
\ne-mail: <\/strong>Leka_m@ukr.net<\/a><\/p>\n

[\/vc_column_text][vc_column_text]Kosyk Dmytro, <\/strong>master of specialty 051 “Economics, Odessa State Agrar\u0456an Un\u0456vers\u0456ty, Odessa, Ukra\u0456ne<\/p>\n

Artificial Intelligence in Crop Production: Successful Cases of Agricultural Enterprises<\/strong><\/h2>\n

Abstract.<\/em><\/strong> Introduction.<\/strong> 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.<\/em><\/p>\n

Purpose.<\/em><\/strong> 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.<\/em><\/p>\n

Results.<\/em><\/strong> 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.<\/em><\/p>\n

Conclusions.<\/em><\/strong> 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.<\/em><\/p>\n

Keywords:<\/em><\/strong> artificial intelligence; agricultural enterprises; innovative technologies; successful cases; startups; international project; potential.<\/em><\/p>\n

References:<\/strong><\/p>\n

    \n
  1. Shevchenko, A.A., Petrenko, O.P. & Orlova, V.O. (2020).\u00a0 Study of influencing factors on the efficiency of agricultural enterprises in Ukraine. Scientific horizons<\/em>,<\/em> 23. 9, 68-77. https:\/\/clipr.cc\/Dhv7K \u00a0doi: 10.48077\/scihor.23(9).2020.68-76.<\/li>\n
  2. Yongjun, Xu et al. (2021).\u00a0 Artificial intelligence: A powerful paradigm for scientific research. The Innovation<\/em>. Volume 2, Issue 4. https:\/\/www.cell.com\/article\/S2666-6758(21)00104-1\/fulltext<\/li>\n
  3. Kuchmiyova, T.S., Moroz, T.O. & Sheshunova, A.V. (2023).\u00a0 Use of artificial intelligence in agriculture. Modern Economics<\/em>,39, 69-74.<\/li>\n
  4. Lebid, O.V., Kiporenko, S.S. & Vovk V.Yu. (2023).\u00a0 Use of artificial intelligence technologies in agriculture: European experience and application in Ukraine. Electronic modeling<\/em>,<\/em> 45.3, 57-71.<\/li>\n
  5. Khilko, I. I. & Zayarnyuk, N. I. (2024, April \u0336\u00a0 22). Artificial Intelligence in the Agrarian Sector of the Economy<\/em>. [Conference presentation abstract]. International forum Information technologies in the modern world, State Biotechnological University, Kharkiv, Ukraine, 225-227.<\/li>\n
  6. Harkusha, A. (2024). Agricultural production in Ukraine: the state of adaptation to digital technologies is very positive. The main conclusion of the presentation of the study “Digital Agro in Ukraine”. All-Ukrainian agricultural magazine AgroElita<\/em>.<\/em> 8 (139), 12-13. https:\/\/agroelita.info\/ahroelita-2024-7-2\/#fb0=1 [in Ukrainian].<\/li>\n
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  17. AgriChain. (2024). The artificial intelligence of the self-propelled sprayer will be trained on the “Kernel” fields. https:\/\/marketsdata.agrichain.com.ua\/na-polyah-kernel-budut-trenuvaty-shtuchnyj-intelekt-samohidnogo-obpryskuvacha\/<\/li>\n
  18. Ukrainian agricultural conference. (2024). Ukrainian agricultural holdings have been ahead of the AI boom and have had their own digital developments for years. http:\/\/agroconf.org\/content\/ukrayinski-agroholdingi-viperedili-bum-shi-ta-vzhe-rokami-mayut-vlasni-cifrovi-rozrobki<\/li>\n
  19. Shevchenko, A. & Petrenko, O. (2023). Determinants of economic development of agriculture in Ukraine. Modern Economics<\/em>,<\/em> 38, 186-193. doi: https:\/\/doi.org\/10.31521\/modecon.V38(2023)-28.<\/li>\n<\/ol>\n

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    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.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
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    [\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column][vc_column_text]<< Back to contents<\/a>[\/vc_column_text][\/vc_column][\/vc_row]<\/p>\n<\/section>","protected":false},"excerpt":{"rendered":"

    [vc_row][vc_column][vc_column_text] JEL Classification: O33; Q 16; Q 13; \u042163. DOI: https:\/\/doi.org\/10.31521\/modecon.V47(2024)-19 [\/vc_column_text][vc_column_text]Shevchenko Al\u0456sa, Cand\u0456date of Econom\u0456c Sc\u0456ences, Assoc\u0456ate Professor of the Department of Econom\u0456c Theory and Econom\u0456cs of Enterpr\u0456ses, Odessa State Agrar\u0456an Un\u0456vers\u0456ty, Odessa, Ukra\u0456ne ORCID ID: 0000-0002-3581-7884 e-mail: al\u0456sochka1978@gma\u0456l.com [\/vc_column_text][vc_column_text]Petrenko Olga, Cand\u0456date of Econom\u0456c Sc\u0456ences, Assoc\u0456ate Professor of the Department of Econom\u0456c Theory and
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