ARTIFICIAL INTELLIGENCE AS A FACTOR OF COMPETITIVENESS OF THE DAIRY INDUSTRY: FOREIGN EXPERIENCE AND APPLICATION PROSPECTS IN THE NOVOSIBIRSK REGION
https://doi.org/10.24412/2225-8264-2025-2-972
Abstract
The article examines the role of artificial intelligence (AI) in increasing the competitiveness of the dairy industry and the agro-industrial complex as a whole. The purpose of the study is to identify world leaders in the field of AI, who have successfully implemented it in their activities and increased the competitiveness of the dairy industry. The main task is to identify key areas for applying valuable experience and adapt it to the conditions of the dairy industry in the Novosibirsk region. To achieve this goal, the following tasks have been completed. Firstly, the analysis of scientific works of foreign and domestic scientists and specialists in the field of AI used in the agro-industrial complex and the dairy industry was carried out. Secondly, the author compiled a detailed SWOT analysis that revealed the strengths and weaknesses of AI applications in the dairy industry. The research used common scientific methods such as analysis, synthesis, induction and deduction. As a result, the world leaders in the field of AI and the key areas of its implementation in dairy production were identified, which have shown the greatest efficiency and can be adapted to the conditions of the Novosibirsk region. Based on the analysis, recommendations were developed to increase the competitiveness of the dairy industry using AI.
About the Author
Ya. S. NikolskyRussian Federation
Yaroslav S. Nikolsky, Postgraduate student
References
1. Altukhov A. I., Dudin M. N., Anishchenko A. N. Digital transformation as a technological breakthrough and transition to a new level of development of the agro-industrial sector of Russia. Prodovol’stvennaya politika i bezopasnost’ = Food policy and security. 2020; Vol. 7, 2: 81–96. (In Russ.).
2. Semin A. N., Skvortsov E. A., Skvortsova E. G. Analysis of research in the field of application of artificial intelligence systems in weed control. Ekonomika sel’skogo khozyaystva Rossii = Economics of Agriculture of Russia. 2023; 8. 49–54. (In Russ.).
3. Skvortsov E. A. Organizational and economic foundations of application of artificial intelligence systems in agriculture: dis. … Doctor of Economics. Ekaterinburg, 2024. 301 p.
4. Statistics of artificial intelligence. Inclient. URL: https://inclient.ru/ai-stats/.
5. Timofeev M. G., Babaitsev A. V., Nikonorova L. I. Artificial intelligence in agriculture. Nauka i Obrazovaniye = Science and Education. 2020; Vol. 3, 4: 71. (In Russ.).
6. Artificial Intelligence Stocks: The 10 Best AI Companies. U.S. News. URL: https://money.usnews.com/investing/articles/artificial-intelligence-stocks-the-10-best-ai-companies.
7. Bharath C. V. S., Gunashree G. N., Dkhar D., Battu P. K. Artificial intelligence in agriculture and dairy sector: Transforming potential into reality. New Delhi: Leaves and Dew Publication, 2025. 9–12 p.
8. Cabrera V. E. Artificial intelligence applied to dairy science: insights from the Dairy Brain Initiative. Animal Frontiers. 2024; Vol. 14, 6: 60–63. DOI: https://doi.org/10.1093/af/vfae040.
9. EU’s InvestAI Initiative: Can €200 Billion Close the AI Gap with the U.S. and China?. FinTech Weekly. URL: https://www.fintechweekly.com/magazine/articles/eu-investai-initiative-can-200-billion-close-the-ai-gap-with-us-and-china.
10. Mahato S., Neethirajan S. Integrating Artificial Intelligence in dairy farm management: biometric facial recognition for cows. Information Processing in Agriculture. 2024. DOI: https://doi.org/10.1016/j.inpa.2024.10.001.
11. Precision Ag Technology. John Deere. URL: https://www.deere.com/en/technology-products/precision-ag-technology/.
12. Siachos N., Neary J. M., Smith R. F., Oikonomou G. Automated dairy cattle lameness detection utilizing the power of artificial intelligence: current status quo and future research opportunities. The Veterinary Journal. 2024; Vol. 304: 106091. DOI: https://doi.org/10.1016/j.tvjl.2024.106091.
13. The Golden Opportunity for American AI. Microsoft. URL: https://blogs.microsoft.com/on-the-issues/2025/01/03/the-golden-opportunity-for-american-ai/.
14. U.S.’s AI leading over China’s rapidly shrinking: Stanford report. Axios. URL: https://www.axios.com/2025/04/07/china-ai-race-stanford-report.
15. Zhang F., Weigel K. A., Cabrera V. E. Predicting daily milk yield for primiparous cows using data of within-herd relatives to capture genotype-by-environment interactions. Journal of Dairy Science. 2022; Vol. 105, 8: 6739–6748. DOI: https://doi.org/10.3168/jds.2021-21559.
Review
For citations:
Nikolsky Ya.S. ARTIFICIAL INTELLIGENCE AS A FACTOR OF COMPETITIVENESS OF THE DAIRY INDUSTRY: FOREIGN EXPERIENCE AND APPLICATION PROSPECTS IN THE NOVOSIBIRSK REGION. Herald of Siberian Institute of Business and Information Technologies. 2025;14(2):112-118. (In Russ.) https://doi.org/10.24412/2225-8264-2025-2-972