Intelligent Control of Irrigation Systems Using Fuzzy Logic Controller

Arunesh Kumar Singh, Tabish Tariq, Mohammad F. Ahmer, Gulshan Sharma (), Pitshou N. Bokoro and Thokozani Shongwe
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Arunesh Kumar Singh: Department of Electrical Engineering, Faculty of Engineering & Technology, Jamia Millia Islamia (A Central University), New Delhi 110025, India
Tabish Tariq: Department of Electrical Engineering, Faculty of Engineering & Technology, Jamia Millia Islamia (A Central University), New Delhi 110025, India
Mohammad F. Ahmer: Department of Electrical and Electronics Engineering, Mewat Engineering College, Nuh 122107, India
Gulshan Sharma: Department of Electrical Engineering Technology, University of Johannesburg, Johannesburg 2006, South Africa
Pitshou N. Bokoro: Department of Electrical Engineering Technology, University of Johannesburg, Johannesburg 2006, South Africa
Thokozani Shongwe: Department of Electrical Engineering Technology, University of Johannesburg, Johannesburg 2006, South Africa

Energies, 2022, vol. 15, issue 19, 1-19

Abstract: In this paper, we explain the design and implementation of an intelligent irrigation control system based on fuzzy logic for the automatic control of water pumps used in farms and greenhouses. This system enables its user to save water and electricity and prevent over-watering and under-watering of the crop by taking into account the climatic parameters and soil moisture. The irrigation system works without human intervention. The climate sensors are packaged using electronic circuits, and the whole is interfaced with an Arduino and a Simulink model. These sensors provide information that is used by the Simulink model to control the water pump speed; the speed of the water pump is controlled to increase or decrease the amount of water that needs to be pushed by the pump. The Simulink model contains the fuzzy control logic that manages the data read by the Arduino through sensors and sends the command to change the pump speed to the Arduino by considering all the sensor data. The need for human intervention is eliminated by using this system and a more successful crop is produced by supplying the right amount of water to the crop when it is needed. The water supply is stopped when a sufficient amount of moisture is present in the soil and it is started as soon as the soil moisture levels drops below certain levels, depending upon the environmental factors.

Keywords: intelligent control; irrigation system; fuzzy logic; automatic irrigation control system (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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