Agricultural Technologies as a Tool for Integrating Artificial Intelligence into the Agricultural Infrastructure of Ukraine
Authors/Creators
- 1. Institute of Economics Latvian Academy of Sciences, Riga, Latvia.
- 2. National Academy of Agrarian Sciences of Ukraine, Kyiv, Ukraine.
- 3. Department of Geoinformation Technologies, Agroecological and Economic Research, Institute of Climate Smart Agriculture of the National Academy of Agrarian Sciences of Ukraine, & Faculty of Economics and Management, Odessa State Agrarian University, Odesa, Ukraine.
- 4. Institute of Climate Smart Agriculture of the National Academy of Agrarian Sciences of Ukraine Kyiv, Ukraine.
- 5. Faculty of Economics and Management, Odessa State Agrarian University, Odesa, Ukraine.
Contributors
Distributor:
Description
This study evaluates the potential of artificial intelligence (AI) and agritech solutions to drive sustainable development in Ukraine's agricultural sector during the post-war recovery period. Emphasizing high-potential technologies such as IoT-enabled precision farming and robotics, the research highlights their technical and commercial viability, as well as investment opportunities, in alignment with global trends. By employing systems analysis, formalization, and logical abstraction, the study identifies innovative solutions to enhance resource efficiency, minimize environmental impact, and promote economic growth. Key findings reveal that agritech serves as a critical enabler for rebuilding Ukraine’s agricultural infrastructure, creating a post-war model that balances economic and environmental priorities. Strengthening the integration of AI and advanced technologies will enhance the efficiency and productivity of farms, bolster Ukraine's global competitiveness, and deliver positive social outcomes, including fostering digital adoption in rural communities. These insights provide a roadmap for leveraging agritech to align with sustainable development goals while addressing local challenges.
Files
M – 00468.pdf
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Additional details
Dates
- Created
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2025-09-22