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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.
Artificial Intelligence in Waste Management in the Context of Implementing Circular Economy
Nina Linde1, Anush Balian2, Tetiana Shabatura*3, Inna Gryshova4, Alla Yakovenko5,
Tetiana Hnatieva6
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: prezid@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 Kyiv, & 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, & Institute of Climate Smart Agriculture of the National Academy of Agrarian Sciences of Ukraine Kyiv, Ukraine. Email: alla_capital@ukr.net | ORCID: https://orcid.org/0000-0002-7158-8310
6Odessa State Agrarian University, Odesa, Ukraine. Email: hnatieva_tn@ukr.net | ORCID https://orcid.org/ 0000-0001-6071-0889
*Corresponding Author
Grassroots Journal of Natural Resources, 7(3ukr): s149-s172. Doi: https://doi.org/10.33002/nr2581.6853.0703ukr08
Received: 08 October 2024
Reviewed: 11 November 2024
Provisionally Accepted: 17 November 2024
Revised: 30 November 2024
Finally Accepted: 03 December 2024
Published: 31 December 2024
The depth of the ecological crisis raises the issue of implementing innovative solutions and technologies in waste management that align with the principles of the circular economy. This research explores the advantages of using artificial intelligence (AI) in waste management systems in Ukraine. The study employs methods of systems analysis, formalization, abstract and logical analysis, in addition to the linear trend method. A comparative analysis of waste management in Ukraine and EU countries was conducted. It was found that the waste generation level in Ukraine is 11.1 tons per person per year, compared to 4.8 tons in the EU. Only 8.24% of waste in Ukraine is sent for recycling, while this figure reaches 49.6% in the EU. The analysis revealed that insufficient infrastructure, poor-quality legislation, and the destruction caused by the war significantly affect waste management practices in Ukraine. An exhaustive review of current startups and technological solutions in waste management utilizing AI was conducted. The findings show that the implementation of AI in waste management can increase recycling rates by 20-30% and reduce operational costs by 10-15%. It is projected that by 2033, the global AI market for waste management will reach USD 18.2 billion, demonstrating an annual growth rate of 27.5%. The study concludes that applying AI in waste management in Ukraine could significantly reduce waste incineration and increase recycling rates to 70% by 2030, aligning with the goals of the National Waste Management Strategy.
Digital technologies; Innovative tools; Sustainable development; Landfills; Startups
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Linde, N., Balian, A., Shabatura, T., Gryshova, I., Yakovenko, A. and Hnatieva, T. (2024). Artificial Intelligence in Waste Management in the Context of Implementing Circular Economy. Grassroots Journal of Natural Resources, 7(3): s149-s172. Doi: https://doi.org/10.33002/nr2581.6853.0703ukr08
Linde, N., Balian, A., Shabatura, T., Gryshova, I., Yakovenko, A., & Hnatieva, T. (2024). Artificial Intelligence in Waste Management in the Context of Implementing Circular Economy. Grassroots Journal of Natural Resources, 7(3), s149-s172. https://doi.org/10.33002/nr2581.6853.0703ukr08
Linde N., Balian A., Shabatura T., Gryshova I., Yakovenko A., Hnatieva T. Artificial Intelligence in Waste Management in the Context of Implementing Circular Economy. Grassroots Journal of Natural Resources, 2024, 7 (3), s149-s172. https://doi.org/10.33002/nr2581.6853.0703ukr08
Linde, Nina, Balian, Anush, Shabatura, Tetiana, Gryshova, Inna, Yakovenko, Alla, Hnatieva, Tetiana. 2024. “Artificial Intelligence in Waste Management in the Context of Implementing Circular Economy”. Grassroots Journal of Natural Resources, 7 no. 3: s149-s172. https://doi.org/10.33002/nr2581.6853.0703ukr08
Linde, Nina, Anush Balian, Tetiana Shabatura, Inna Gryshova, Alla Yakovenko and Tetiana Hnatieva. 2024. “Artificial Intelligence in Waste Management in the Context of Implementing Circular Economy”. Grassroots Journal of Natural Resources, 7 (3): s149-s172. https://doi.org/10.33002/nr2581.6853.0703ukr08
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