Research on World Agricultural Economy

Selection of Application in Smart Farming Systems

Jurica Bosna

Department of Economics, University of Zadar, 23000 Zadar, Croatia

Adis Puška

Government of Brčko District of Bosnia and Herzegovina, 76100 Brčko, Bosnia and Herzegovina

Miroslav Nedeljković

Institute of Agricultural Economics, 11060 Belgrade, Serbia

DOI: https://doi.org/10.36956/rwae.v7i2.2530

Received: 25 July 2025 | Revised: 9 October 2025 | Accepted: 21 October 2025 | Published Online: 26 March 2026

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Abstract

The research presented in this paper was carried out using the example of selecting applications for smart farm management, specifically focusing on the Farmland company. To facilitate this selection process, Multi-Criteria Decision Making (MCDM) methods were employed, including the fuzzy SiWeC (simple weight calculation) method, which was utilized to subjectively assess the significance of the criteria involved, alongside the Entropy method, which objectively evaluated the importance of these criteria. Additionally, the fuzzy CORASO (compromise ranking from alternative solutions) method was applied to rank the alternatives. The assessment of the significance of the criteria, along with the assessment of the applications based on the selected criteria, was conducted by experts. They carried out this assessment by utilizing linguistic values, which required a fuzzy approach. The findings from this approach indicated that, following the application of the SiWeC and Entropy methods, the most critical criterion for assessing applications is their efficiency. Through the application of the fuzzy CORASO method, it was determined that the A1 application most effectively satisfies the established criteria, making it the preferred option for the implementation of the smart farming system. This research has demonstrated that applications are an essential tool for the realization of smart farming, and it has illustrated how applications can be chosen using the MCDM method.

Keywords: Selection of Application; Smart Farming; Fuzzy Approach; Multicriteria Analysis Methods

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