This paper offers a practical model to help farmers choose the most suitable mobile application for their specific needs, improving decision-making processes in adopting agricultural technology. Given the wide range of applications available on the market, the need to select the one that best improves agricultural production motivated the research in this paper. To simplify the decision-making process for farmers, a methodology that applied the fuzzy approach was developed. Based on this, this research aimed to evaluate and identify mobile applications most suitable for the Farmino farm using a Multi-Criteria Decision-Making (MCDM) approach. A decision-making model that includes ten criteria and several mobile applications was applied. Farm employees, who are the intended users of these applications, evaluated the criteria and applications using linguistic terms. The methods of fuzzy Simple Weight Calculation (SiWeC) and fuzzy Logarithmic Percentage Change-Driven Objective Weighting (LOPCOW) were used to determine the weight of the criteria. These methods revealed that the criterion "Data accuracy" was more important than the others, while the importance of the other criteria was less. Finally, the fuzzy method Multi-Attributive Border Approximation Area Comparison (MABAC) was used to rank mobile applications, and the results showed that the A4 mobile application ranked highest, making it the best choice for Farmino farm.

Globally, plums are among the most grown and consumed fruit species. Considering China as the leader in plum production, there are intentions to introduce the usually grown plum varieties in China into the area of Western Balkan (WB). It is expected that this action will trigger knowledge and technological transfer, as well as improvement in reached profitability. The suitability of available seven plum varieties (Superior, Skoroplodnaya, Eagle Dream, Sissy, Manchu Beauty, Golden ball and Red ball) to production and market conditions of Western Balkan are analysed by experts’ assessment of offered alternatives according to predefined sets of (sub)criteria (economic and technological). In line with the main goal of the research support in the decision-making process, i.e. ranking the observed plum varieties is done according to the selected multi-criteria method, in this case, fuzzy DNARAS multi-criteria decision-making method (Double Normalization Fuzzy Additive Ratio Assessment). Previous assessments of observed plum varieties towards the predefined sets of criteria are done by engaged national experts focused on fruit growing. Derived research results show that the plum variety Sissy could perfectly fit the WBs fruit production sector, while the variety Superior possess the lowest growing potential among the assessed plum varieties. Research originality lies in the fact that assessment and ranking of selected plum varieties have been done with the fuzzy DNARAS multi-criteria decision-making method, a method that shows a higher level of stability compared to other similar methods. Performing the quasi-experiment under the expert’s opinions and suggesting the plum varieties that could correspond to adequate growing alternatives simultaneously represents the initial stage in multi-year field experiments linked to the introduction of marked varieties into the WBs.

In this research is presented a new method for determining the weights of criteria called simple weight calculation (SIWEC) method. The steps of this method are presented in the practical example of determining the importance of criteria for the needs of sales of agricultural products in the Semberija region. During the presentation of this method two methods are elaborated the simple SIWEC method which includes numerical ratings and the fuzzy SIWEC method which includes ratings in the form of linguistic value. In the selected example is presented how to use this method in order to determine the importance of criteria and in both cases the criterion of sales reliability is given the greatest weight. The contribution SIWEC method is reflected in its simplicity, which facilitates decision-making. • The method presented in this research apart from others is that it uses the evaluation of the criteria by decision makers, so the criteria should not be ranked and compared, but simply evaluated. • Unlike similar methods, the presented method uses the adjusted steps of the method for ranking the alternatives, and decision makers are given a different importance in the decision-making.

When selling food products, it's important to choose the appropriate sales channel. These channels connect producers with consumers. The aim of this study was to select a channel for the sale of cabbage to end customers. In this paper, six different sales channels that are used in the Semberija region for the sale of cabbage were observed. These sales channels were evaluated using 11 different criteria. In order to choose the sales channel that best meets the set objectives, a fuzzy set approach was used. This approach was chosen because qualitative criteria were used and expert ratings were in the form of linguistic values. Based on the input of seven experts who are professors at agricultural faculties in Bijeljina, it was found that consumer habits were the most important criterion, followed by the criterion compliance with environmental standards, while the smallest weight value was given to the criterion delivery method. Using the RAWEC (Ranking of Alternatives with Weights of Criterion) method, it was shown that online sales yield the best results, after that follows Producer-sales agent-consumer, while according to experts, the sales channel is the best rated Producer-wholesaler-retailer-consumer. This is because various tools can be utilized on the Internet for selling agricultural products. Based on the conducted research, the contribution of this study lies in the selection of sales channels using the integration of the MEREC and RAWEC methods.