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Intelligent Control of Irrigation Systems Using Fuzzy Logic Controller

Author

Listed:
  • 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)

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.

Suggested Citation

  • Arunesh Kumar Singh & Tabish Tariq & Mohammad F. Ahmer & Gulshan Sharma & Pitshou N. Bokoro & Thokozani Shongwe, 2022. "Intelligent Control of Irrigation Systems Using Fuzzy Logic Controller," Energies, MDPI, vol. 15(19), pages 1-19, September.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:19:p:7199-:d:930247
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    References listed on IDEAS

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    1. Vincenzo Li Vigni & Damiano La Manna & Eleonora Riva Sanseverino & Vincenzo Di Dio & Pietro Romano & Pietro Di Buono & Maurizio Pinto & Rosario Miceli & Costantino Giaconia, 2015. "Proof of Concept of an Irradiance Estimation System for Reconfigurable Photovoltaic Arrays," Energies, MDPI, vol. 8(7), pages 1-17, June.
    2. Celik, Ali Naci & Acikgoz, NasIr, 2007. "Modelling and experimental verification of the operating current of mono-crystalline photovoltaic modules using four- and five-parameter models," Applied Energy, Elsevier, vol. 84(1), pages 1-15, January.
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    Cited by:

    1. Li Bin & Muhammad Shahzad & Hira Khan & Muhammad Mehran Bashir & Arif Ullah & Muhammad Siddique, 2023. "Sustainable Smart Agriculture Farming for Cotton Crop: A Fuzzy Logic Rule Based Methodology," Sustainability, MDPI, vol. 15(18), pages 1-18, September.

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