o:37526 APPLICATION OF ARTIFICIAL INTELLIGENCE IN CLUSTER ANALYSIS FOR ENHANCING PRODUCTIVITY AND SUSTAINABILITY IN AGRICULTURAL PRODUCTION IN THE REPUBLIC OF SRPSKA en Abstract: This research investigates how cluster analysis and artificial intelligence (AI) can be used to increase agricultural productivity and sustainability in the Republic of Srpska. More accurate strategic planning and effective resource management were made possible by the identification of particular clusters with comparable traits through the analysis of climatic parameters and the classification of regions. While the use of machine learning techniques allows for more precise forecasting of the effect of climatic conditions on yields, the suggested insurance models, which are based on cluster analysis, have the potential to improve farmers' financial protection. This research emphasizes the necessity of creating customized insurance models that account for particular climatic risks and implementing contemporary technology to enhance the claims resolution procedure. Through these approaches, it is possible to significantly increase the resilience of the agricultural sector to climate change and ensure better financial stability and safer production. Paper presented at the 13th International Conference EKONBIZ 2025 - Economic implications of the multipolar world, June 5th and 6th 2025, Bijeljina. Key words: agriculture, climate risks, artificial intelligence, cluster analysis, productivity, sustainability, insurance 1552099 10.69781/NOEK202538172 1552101 1840-2313 2026-01-21T13:35:38.377Z 44 no 46 Mirela Mitrašević Radomir Bodiroga person Katica Radosavljević person 0000-0002-5609-8399 Biljana Chroneos Krasavac Univerzitet u Beogradu Ekonomski fakultet person 0000-0002-1486-4825 application/pdf 514168 https://phaidrabg.bg.ac.rs/o:37526 no yes 19 70 1552253 11A03 Novi Ekonomist 19 38 24 31 2025