Open Access

Fuzzy Logic Controller-based Intelligent Irrigation System Using Solar Radiation Data

K. C. Jayasankar, Department of Electrical and Electronics Engineering, Saveetha School of Engineering, SIMATS, Saveetha University, Chennai, TN, India G. Anandhakumar, anandhakumar@saveetha.com
Department of Electrical and Electronics Engineering, Saveetha School of Engineering, SIMATS, Saveetha University, Chennai, TN, India A. Kalaimurugan Department of Electrical and Electronics Engineering, Agni College of Technology, Chennai, TN, India

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Abstract

Solar radiation is a critical factor influencing agricultural productivity and water resource management. Irrigation systems play a pivotal role in maintaining crop health and yield, and optimizing their operation requires accurate solar radiation data. This abstract explores the significance of solar radiation data in enhancing the efficiency of irrigation systems. Irrigating agricultural fields using an intelligent information system plays a crucial role. This study introduces an irrigation control system employing closed-loop control to use the available water resources efficiently. Continuous data collection from field sensors was done and transmitted to a central station in wireless mode. The data was then retrieved and processed in a computer-based or microcontroller-based solution model, enhancing system autonomy, reliability, and cost-effectiveness. Weather conditions are translated into fuzzy set values. The pump, water outlet valves, and sprinklers are set into motion according to control commands. This research simplifies the need for manual labor and reduces water wastage.

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Reference

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