Naslov (eng)

APPLICATION OF ARTIFICIAL INTELLIGENCE IN CLUSTER ANALYSIS FOR ENHANCING PRODUCTIVITY AND SUSTAINABILITY IN AGRICULTURAL PRODUCTION IN THE REPUBLIC OF SRPSKA

Autor

Mitrašević, Mirela
Bodiroga, Radomir
Radosavljević, Katica
Chroneos Krasavac, Biljana

Opis (eng)

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.

Opis (eng)

Paper presented at the 13th International Conference EKONBIZ 2025 - Economic implications of the multipolar world, June 5th and 6th 2025, Bijeljina.

Jezik

engleski

Datum

2025

Licenca

Ovo delo je licencirano pod uslovima licence
Creative Commons CC BY-NC-SA 4.0 - Creative Commons Autorstvo - Nekomercijalno - Deliti pod istim uslovima 4.0 International License.

http://creativecommons.org/licenses/by-nc-sa/4.0/legalcode

Predmet

Key words: agriculture, climate risks, artificial intelligence, cluster analysis, productivity, sustainability, insurance

Deo kolekcije (1)

o:28218

Ekonomski fakultet