A fuzzy irrigation control system

Gilberto Souza, Plinio Thomaz Aquino, Rodrigo Filev Maia, Carlos Kamienski, Juha Pekka Soininen

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    6 Citations (Scopus)


    Given the need to reduce water consumption in irrigation to face the challenge of guaranteeing the supply of this resource to the population in the coming decades, this work presents a fuzzy inference system based irrigation control system to determine water irrigation volume for a sweet pepper (capsicum annuum) crop. The system is composed of a Mamdani fuzzy control algorithm which receives data from soil moisture, air humidity and air temperature sensors from the crop field. Also, the rain forecast is gathered from a personal weather station located near to the crop field. Data gathered are used by the control algorithm to ensure that the soil moisture at the root zone is readily available to the plant. After 126 days from seeding, the results indicated that the system was able to reduced irrigation by 18% through controlling soil moisture levels at the plant root zone, saving water content on the irrigation process.
    Original languageEnglish
    Title of host publication2020 IEEE Global Humanitarian Technology Conference, GHTC 2020
    PublisherIEEE Institute of Electrical and Electronic Engineers
    ISBN (Electronic)978-1-7281-7388-7
    ISBN (Print)978-1-7281-7389-4
    Publication statusPublished - 8 Feb 2020
    MoE publication typeA4 Article in a conference publication
    Event10th Annual IEEE Global Humanitarian Technology Conference, GHTC 2020: Online - Virtual, Seattle, United States
    Duration: 29 Oct 20201 Nov 2020

    Publication series

    SeriesIEEE Global Humanitarian Technology Conference


    Conference10th Annual IEEE Global Humanitarian Technology Conference, GHTC 2020
    Country/TerritoryUnited States


    • capacitive sensors
    • irrigation
    • mamdani fuzzy method
    • soil moisture


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