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This paper discusses the creation of an intelligent irrigation system based on the fuzzy Sugeno model. The goal of the work is to develop an effective system capable of automatically managing irrigation in agriculture, horticulture and other areas where optimal use of water resources is required. To achieve this goal, an analysis and selection of data processing methods was carried out, and the key parameters necessary for the implementation of an intelligent irrigation system were identified. The fuzzy Sugeno model was chosen as the base model, which allows taking into account the uncertainty and fuzziness of data when making decisions. The main objective of the work was to create software capable of making a decision on the need for irrigation and the optimal volume of water supply based on the collected data on soil moisture. Research has shown that the developed system is capable of effectively managing irrigation, optimizing the consumption of water resources and increasing crop yields. The results of the work can be applied in agriculture, horticulture and other areas where automated irrigation control based on soil moisture data is required.
Muhamediyeva et al. (Wed,) studied this question.