Achieving sustainability and productivity in agriculture, particularly in water-scarce regions, relies on the optimal allocation of water resources. In this paper a fuzzy logic defining model is proposed to maximize water resources allocation. Based on environmental data, crop water requirements and soil moisture levels, this model updates irrigation schedules. This approach can increase the efficiency of water use, decrease the waste and be generally more sustainable. The model uses a rule-based fuzzy inference system to assess irrigation needs in real time, adapting to changing weather and soil conditions. Refining fuzzy logic-based modelling to evaluate scenarios and design policies, the study is an extension of previous efforts that moved away from prescriptive decision-making methods. The results show potential water savings without compromising crop yields, highlighting the practical relevance of this methodology.