Fuzzy Logic Control for Managing the Reduction of Electrical Energy in the Smart Irrigation System

Abstract

South Africa's expanding energy consumption, encouraged by growth in agricultural automation and electrical schemes, puts the national grid's sustainability at risk. Farmers require efficient energy management systems to adopt smart technologies and integrate renewable energy sources into their smart irrigation system. Thus, the current research aims to apply a Fuzzy Logic Control based Energy Management System to demonstrate the energy use efficiency for smart irrigation system by flexibly managing energy consumption in real-time, reflecting environmental conditions like soil moisture, climate temperature, and the accessibility of green energy solutions. The results indicate that under the given environmental conditions, the predicted power consumption stabilizes at a medium level (50.0), reflecting a balanced energy demand. These findings align with previous studies that highlight the effectiveness of fuzzy logic in adaptive energy management. Based on simulation of the current study the optimized irrigation system consistently consumes 80 units of power, the fuzzy logic system averaging around 50–55 units under varying environmental conditions saves approximately 25–30 units per cycle, or about 31–37.5% in power consumption. The importance of this research is rooted in its pragmatic implications for agricultural practitioners in South Africa, facilitating a reduction in operational expenditures, the enhancement of irrigation timetables, and the mitigation of reliance on non-renewable energy resources. The system additionally aims to address the constraints inherent in traditional irrigation methods, offering a financially viable and accessible solution aimed at enhancing energy utilization and facilitating the integration of renewable energy sources.