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    Comparison of Analytical, Multiple Polynomial Regression, and Artificial Neural Networks to Estimate Wetting Parameters for Surface and Buried Drip Irrigation across Three Different Soil Textures

    Source: Journal of Irrigation and Drainage Engineering:;2025:;Volume ( 151 ):;issue: 006::page 04025041-1
    Author:
    Shabani, Ali
    ,
    Shahabi Zad, Vahid
    ,
    Sepaskhah, Ali Reza
    ,
    Mahmoudi, Mohammad Reza
    ,
    Roshanzamir, Mohamad
    DOI: 10.1061/JIDEDH.IRENG-10607
    Publisher: American Society of Civil Engineers
    Abstract: AbstractThis study investigated the wetting patterns of surface and buried drip irrigation systems across three distinct soil textures: sandy loam, loam, and clay loam. The research employed analytical methods, multiple polynomial regression analysis, and ...
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      Comparison of Analytical, Multiple Polynomial Regression, and Artificial Neural Networks to Estimate Wetting Parameters for Surface and Buried Drip Irrigation across Three Different Soil Textures

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4311772
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    • Journal of Irrigation and Drainage Engineering

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    contributor authorShabani, Ali
    contributor authorShahabi Zad, Vahid
    contributor authorSepaskhah, Ali Reza
    contributor authorMahmoudi, Mohammad Reza
    contributor authorRoshanzamir, Mohamad
    date accessioned2026-08-20T11:09:33Z
    date available2026-08-20T11:09:33Z
    date copyright2025/09/24
    date issued2025
    identifier otherJIDEDH.IRENG-10607.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4311772
    description abstractAbstractThis study investigated the wetting patterns of surface and buried drip irrigation systems across three distinct soil textures: sandy loam, loam, and clay loam. The research employed analytical methods, multiple polynomial regression analysis, and ...
    publisherAmerican Society of Civil Engineers
    titleComparison of Analytical, Multiple Polynomial Regression, and Artificial Neural Networks to Estimate Wetting Parameters for Surface and Buried Drip Irrigation across Three Different Soil Textures
    typeJournal Article
    journal volume151
    journal issue6
    journal titleJournal of Irrigation and Drainage Engineering
    identifier doi10.1061/JIDEDH.IRENG-10607
    journal fristpage04025041-1
    journal lastpage04025041-16
    page16
    treeJournal of Irrigation and Drainage Engineering:;2025:;Volume ( 151 ):;issue: 006
    contenttypeFulltext
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