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    Comparative Evaluation of Machine-Learning Models for Predicting Daily Evapotranspiration in a Naturally Ventilated Greenhouse

    Source: Journal of Irrigation and Drainage Engineering:;2025:;Volume ( 151 ):;issue: 005::page 04025024-1
    Author:
    Sahoo, Bibhuti Bhusan
    ,
    Najafzadeh, Mohammad
    ,
    DT, Santosh
    ,
    Jithendra, Thandra
    ,
    Panigrahi, Banamali
    ,
    Mishra, Shuchi
    ,
    Gupta, Sushindra Kumar
    ,
    Bhushan, Mani
    DOI: 10.1061/JIDEDH.IRENG-10441
    Publisher: American Society of Civil Engineers
    Abstract: AbstractAccurate determination of reference evapotranspiration (ET0) is crucial for optimizing irrigation scheduling in greenhouse environments, ensuring optimal plant growth and resource management. This study aims to identify the most accurate method for ...
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      Comparative Evaluation of Machine-Learning Models for Predicting Daily Evapotranspiration in a Naturally Ventilated Greenhouse

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/4311752
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    • Journal of Irrigation and Drainage Engineering

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    contributor authorSahoo, Bibhuti Bhusan
    contributor authorNajafzadeh, Mohammad
    contributor authorDT, Santosh
    contributor authorJithendra, Thandra
    contributor authorPanigrahi, Banamali
    contributor authorMishra, Shuchi
    contributor authorGupta, Sushindra Kumar
    contributor authorBhushan, Mani
    date accessioned2026-08-20T11:08:41Z
    date available2026-08-20T11:08:41Z
    date copyright2025/06/28
    date issued2025
    identifier otherJIDEDH.IRENG-10441.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4311752
    description abstractAbstractAccurate determination of reference evapotranspiration (ET0) is crucial for optimizing irrigation scheduling in greenhouse environments, ensuring optimal plant growth and resource management. This study aims to identify the most accurate method for ...
    publisherAmerican Society of Civil Engineers
    titleComparative Evaluation of Machine-Learning Models for Predicting Daily Evapotranspiration in a Naturally Ventilated Greenhouse
    typeJournal Article
    journal volume151
    journal issue5
    journal titleJournal of Irrigation and Drainage Engineering
    identifier doi10.1061/JIDEDH.IRENG-10441
    journal fristpage04025024-1
    journal lastpage04025024-15
    page15
    treeJournal of Irrigation and Drainage Engineering:;2025:;Volume ( 151 ):;issue: 005
    contenttypeFulltext
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