The correct selection of modern equipment plays a crucial role in increasing the efficiency of agricultural production. Since there are many competitive alternatives for agricultural equipment today, the selection of the optimal option that meets specific criteria is one of the most complex multi-criteria problems in decision-making theory. In this study, the FAHP (Fuzzy Analytic Hierarchy Process) method, which has been widely used in scientific research and has proven its effectiveness based on the integration of the analytic hierarchy process (AHP) and fuzzy logic, was used to solve the complex multi-criteria problem of selecting agricultural grain harvesters. During the selection of criteria, five main factors were identified based on the subjective opinions of experts, and the four most common Grain harvesters on the market were taken as alternatives according to official statistics of Kazakhstan. The advantage of the FAHP method is that it allows you to select the most accurate and effective one from among the criteria whose values are close to each other when making a decision. The results obtained are presented as an important module of an intelligent information system that provides support not only to economic entities in the agricultural sector, but also to the institutions responsible for shaping agricultural policy. This approach contributes to improving the quality of decision-making, efficient allocation of resources, and smooth and precise improvement of important strategic planning in the agricultural sector.