AI-driven precision agriculture in Eurasia- coordinated innovation for belt and road agricultural transformationin
Main Article Content
Abstract
International collaboration in AI based technologies in agriculture is essential factor to increase output and agriculture productivity. AI horizons/ alliance program aimed to increase awareness and accessibility of new agro markets and optimize supply routes in Eurasia. Precision agriculture is commonly used term that enables AI based instruments into practical agriculture works. Precision agriculture in Eurasia is undergoing a transformative wave powered by artificial intelligence (AI) and cross-border innovation. This article examines how AI-driven technologies including agro-drones for aerial crop monitoring, satellite-based NDVI analysis, image recognition for pest and disease detection, advanced weather forecasting models, and decision support systems – are being deployed across Great Eurasia and Belt and Road Initiative (BRI) countries to boost agricultural productivity and sustainability. A particular focus is given to the Eurasian context countries like China, Kazakhstan, Uzbekistan, Russia and Thailand are leveraging AI to overcome climate and labor challenges, increase yields, and optimize resource use. The AI Horizons Alliance, a Sber-driven consortium, is highlighted as a coordinating body facilitating the exchange of AI technologies and expertise across borders. Real-world case studies demonstrate tangible benefits, such as up to 20% increases in crop yields, and 30% improvements in efficiency, and significant cost savings, achieved through AI-enabled precision farming. The article discusses the collaborative efforts under BRI frameworks, the integration of traditional knowledge with cutting-edge digital tools, and the role of international organizations in guiding this tech-driven agricultural transformation. Challenges from data sharing to capacity building are considered alongside prospects for broader adoption. The findings underscore that AI-driven precision agriculture, underpinned by coordinated Eurasian partnerships, holds to promise for enhancing food security and sustainable development across the region. It is a part of innovation organic agriculture.
Article Details

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
References
AgroPages News (2025). China’s first unmanned farm boosts wheat yields 20% with AI. Retried from news.agropages.comnews.agropages.com.
Ahmad, A., Liew, A. X W., Venturini, F., Kalogeras, A. et al. (2024). AI can empower agriculture for global food security: challenges and prospects in developing nation. Frontiers in Artificial Intelligence, 7:1328530. DOI: https://doi.org/10.3389/frai.2024.1328530
AI Alliance Russia (2023). National AI Development Strategy – perspectives. Statements from Russian AI Alliance leaders highlighting AI use in agribusiness and need to scale implementations. Retried from https://a-ai.ru/?lang=en
Ajena, F., Bossard, N., Clément, C., Hilbeck, A., Oehen, B., Thomas, J. and Tisselli, E. (2020). Agroecology & digitalisation traps and opportunities to transform the food system. IFOAM Organics Europe, 1-56 p.
Coin World (2025). Asia Turns to AI and Robotics to Tackle Farming Labor Shortages and Boost Efficiency. Retried from https://www.ainvest.com/news/asia-turns-ai-robotics-tackle-farming-labor-shortages-boost-efficiency-2507/
Donnellon-May, G. (2025). How China’s AI push in agritech is changing global trade flows. China technology. Retried from https://www.scmp.com/opinion/china-opinion/article/3307824/how-chinas-ai-push-agritech-changing-global-trade-flows
Electronics Media (2025). Global researchers uniting efforts to study future of artificial intelligence. Retried from https://www.electronicsmedia.info/2025/06/17/global-ai-experts-convene-at-ai-horizons-in-st-petersburg/
FAO Newsroom (2024). FAO highlights the potential of AI and the digital revolution to transform the world’s agrifood systems. FAO Director-General Qu Dongyu’s remarks on AI in agriculture. Retried from https://www.fao.org/newsroom/detail/fao-highlights-the-potential-of-ai-and-the-digital-revolution-to-transform-the-world-and-its-agrifood-systems/en
Finextra (2025). Putin orders Russian bank to cooperate with China on AI. Retried from https://www.finextra.com/newsarticle/45253/putin-orders-russian-bank-to-cooperate-with-china-on-ai#:~:text=Putin%20orders%20Russian%20bank%20to,based%20services
Global Ag Tech Initiative (2021). Farming Machinery Giant in Russia Set for Autonomous AI Rollout. Retried from https://www.globalagtechinitiative.com/market-watch/farming-machinery-giant-in-russia-set-for-autonomous-ai-rollout/
Global Times (2025). China, Central Asia agricultural cooperation deepens, yielding tangible results: industry experts. Retried from https://www.globaltimes.cn/page/202506/1336380.shtml
Government of Uzbekistan (2025). Enhancing the use of space data in agriculture. Retried from https://gov.uz/en/news/view/74560
Hennig-Possenti, F. (2025). AI and the Future of Sustainable Agriculture. European Agricultural Machinery Association. Retried from https://www.cema-agri.org/publication/articles/1099-ai-and-the-future-of-sustainable-agriculture
James, A. (2020). Cognitive Pilot and Sberbank-Telecom to create precision farming solution powered by AI. Farm Automation Today. Retried from https://www.farmautomationtoday.com/news/data-analytics/cognitive-pilot-and-sberbank-telecom-to-create-precision-farming-solution-powered-by-ai.html
Menon, S. (2024). Digitalisation in Kazakhstan’s agriculture sector can support global food security efforts. Emerging Europe. Retried from https://emerging-europe.com/opinion/digitalisation-in-kazakhstans-agriculture-sector-can-support-global-food-security-efforts/
Morrison, O. (2024). AI-powered personal weather forecasts promise to boost crop yields. AgriTech Navigator. Retried from https://www.agtechnavigator.com/Article/2024/01/17/AI-powered-personal-weather-forecasts-promise-to-boost-crop-yields/
Satbayev University News (2025). Drones help grow crops: a new generation precision farming system is being elaborated in Kazakhstan. Retried from https://satbayev.university/en/news/drones-help-grow-crops-a-new-generation-precision-farming-system-is-being-elaborated-in-kazakhstan
UDF-Space (2024). 85% of Russian regions are already using Sber's AI solutions. Retried from https://udfspace.com/article/5546480997534153#:~:text=85,In%202024%20 alone%2C