DECISION SUPPORT FOR APPLICATION SELECTION IN SMART FARMING

This paper examined the issue of selecting smart farm management applications using the Farmland agribusiness company from Brko District Bosnia and Herzegovina (BiH) as an example.Fuzzy multi-criteria decisionmaking techniques, SiWeC (simple weight calculation), and the novel CORASO method (compromise ranking from alternative solutions) were applied in this case study.The research is based on expert decision-making and predetermined criteria.The results of applying the fuzzy SiWeC method showed that the most important criteria for choosing an application are data precision, ease of use and application efficiency, while the ranking results using the fuzzy CORASO method indicate that A1 is the highest rated application.These results demonstrated that all business sectors of the farm in question must be covered and that applications should have more options so that a farm or business may be operated with a single application.The significance of the research lies in the successful application of the innovative multi-criteria fuzzy method for the evaluation of applications for managing smart farms (smart farming), as well as the determination of key parameters and further guidelines that affect modern management in agricultural production.

Authors

Publication Details

Journal
The Journal Agriculture and Forestry
Published
2025-09-30
DOI
https://doi.org/10.17707/agricultforest.71.3.08
Primary Topic
Smart Agriculture and AI
Type
article
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article

DECISION SUPPORT FOR APPLICATION SELECTION IN SMART FARMING

Miroslav Nedeljković, Adis Puška, Jurica BOSNA
The Journal Agriculture and Forestry
Smart Agriculture and AI
article

DECISION SUPPORT FOR APPLICATION SELECTION IN SMART FARMING

Miroslav Nedeljković, Adis Puška, Jurica BOSNA
article en

Abstract

This paper examined the issue of selecting smart farm management applications using the Farmland agribusiness company from Brko District Bosnia and Herzegovina (BiH) as an example.Fuzzy multi-criteria decisionmaking techniques, SiWeC (simple weight calculation), and the novel CORASO method (compromise ranking from alternative solutions) were applied in this case study.The research is based on expert decision-making and predetermined criteria.The results of applying the fuzzy SiWeC method showed that the most important criteria for choosing an application are data precision, ease of use and application efficiency, while the ranking results using the fuzzy CORASO method indicate that A1 is the highest rated application.These results demonstrated that all business sectors of the farm in question must be covered and that applications should have more options so that a farm or business may be operated with a single application.The significance of the research lies in the successful application of the innovative multi-criteria fuzzy method for the evaluation of applications for managing smart farms (smart farming), as well as the determination of key parameters and further guidelines that affect modern management in agricultural production.

The Journal Agriculture and ForestryVol. 71(3)
Openalex Percentile: Top 79%
Smart Agriculture and AI
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DECISION SUPPORT FOR APPLICATION SELECTION IN SMART FARMING — Miroslav Nedeljković, Adis Puška, et al. · The Journal Agriculture and Forestry (2025) | TGRS Research Map | TGRS