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Water and Power Optimized Allocation for Smart Irrigation System

Irrigation is a critical component of agriculture that consumes both power and water. As a result, intelligent irrigation systems that can manage the utilized resources are required. Using the Lagrange Multiplier approach, an optimal strategy for managing water and power resources is proposed in this work. It is employed because of its high accuracy solution and low hardware complexity. In the agricultural area, the optimization issue is phrased as a trade-off between water and power consumption. In order to test the proposed method, MATLAB software is used in two case studies. The obtained results confirmed the claimed efficiency and optimality of power and water resource management.