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(ISSN:2581-6853; CODEN: GJNRA9; DOI: 10.33002/nr2581.6853) is an international, scientific double blind peer-reviewed open access journal published 3 times a year online by The Grassroots Institute.
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Coordinated and published by The Grassroots Institute, the Grassroots Journal of Natural Resources (GJNR) is an international journal dedicated to the latest advancements in natural resources throughout the world. The goal of this journal is to provide a platform for scientists, social scientists, policy analysts, managers and practitioners (on all academic and professional levels) all over the world to promote, discuss and share various new issues and developments in different arenas of natural resources.
Nina Linde1, Anush Balian2, Tetiana Shabatura*3, Inna Gryshova4, Olga Petrenko5,
Alisa Shevchenko6
1Institute of Economics Latvian Academy of Sciences, Riga, Latvia.
Email: hello@drninalinde.com | ORCID: https://orcid.org/0009-0001-6592-5982
2National Academy of Agrarian Sciences of Ukraine, Kyiv, Ukraine.
Email: naas.gov.ua | ORCID: https://orcid.org/0000-0003-2190-2022
3Department 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. Email: ta_sha77@ukr.net | ORCID: https://orcid.org/0000-0002-7107-0167
4Institute of Climate Smart Agriculture of the National Academy of Agrarian Sciences of Ukraine Kyiv, Ukraine.
Email: gryshovainna@ukr.net | ORCID: https://orcid.org/0000-0001-6276-7619
5Faculty of Economics and Management, Odessa State Agrarian University, Odesa, Ukraine.
Email: leka_m@ukr.net | ORCID: https://orcid.org/0000-0001-9722-3785
6Faculty of Economics and Management, Odessa State Agrarian University, Odesa, Ukraine.
Email: alisochka1978@gmail.com | ORCID: https://orcid.org/0000-0002-3581-7884
*Corresponding Author
Grassroots Journal of Natural Resources, 7(3ukr): s30-s51. Doi: https://doi.org/10.33002/nr2581.6853.0703ukr02
Received: 22 August 2024
Reviewed: 20 October 2024
Provisionally Accepted: 24 October 2024
Revised: 30 October 2024
Finally Accepted: 10 November 2024
Published: 30 December 2024
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.
Sustainable development; Innovative technologies; Agridrones; Smart farming; Automation
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Linde, N., Balian, A., Shabatura, T., Gryshova, I., Petrenko, O. and Shevchenko, A. (2024). Agricultural Technologies as a Tool for Integrating Artificial Intelligence into the Agricultural Infrastructure of Ukraine. Grassroots Journal of Natural Resources, 7(3): s30-s51. Doi: https://doi.org/10.33002/nr2581.6853.0703ukr02
Linde, N., Balian, A., Shabatura, T., Gryshova, I., Petrenko, O., & Shevchenko, A. (2024). Agricultural Technologies as a Tool for Integrating Artificial Intelligence into the Agricultural Infrastructure of Ukraine. Grassroots Journal of Natural Resources, 7(3), s30-s51. https://doi.org/10.33002/nr2581.6853.0703ukr02
Linde N., Balian A., Shabatura T., Gryshova I., Petrenko O., Shevchenko A. Agricultural Technologies as a Tool for Integrating Artificial Intelligence into the Agricultural Infrastructure of Ukraine. Grassroots Journal of Natural Resources, 2024, 7 (3), s30-s51. https://doi.org/10.33002/nr2581.6853.0703ukr02
Linde, Nina, Balian, Anush, Shabatura, Tetiana, Gryshova, Inna, Petrenko, Olga, Shevchenko, Alisa. 2024. “Agricultural Technologies as a Tool for Integrating Artificial Intelligence into the Agricultural Infrastructure of Ukraine”. Grassroots Journal of Natural Resources, 7 no.3: s30-s51. https://doi.org/10.33002/nr2581.6853.0703ukr02
Linde, Nina, Anush Balian, Tetiana Shabatura, Inna Gryshova, Olga Petrenko and Alisa Shevchenko. 2024. “Agricultural Technologies as a Tool for Integrating Artificial Intelligence into the Agricultural Infrastructure of Ukraine”. Grassroots Journal of Natural Resources, 7 (3): s30-s51. https://doi.org/10.33002/nr2581.6853.0703ukr02
| Crossref: | https://doi.org/10.33002/nr2581.6853.0703ukr02 |
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