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    Multiobjective Optimization Framework for Irrigation Scheduling under Uncertainty

    Source: Journal of Irrigation and Drainage Engineering:;2025:;Volume ( 151 ):;issue: 005::page 04025029-1
    Author:
    Kashkaki, Zahra
    ,
    Monem, Mohammad Javad
    ,
    Nikbakhsh, Ehsan
    DOI: 10.1061/JIDEDH.IRENG-10451
    Publisher: American Society of Civil Engineers
    Abstract: AbstractThe increasing water demand, driven by population growth and industrial expansion, is intensifying the global water scarcity crisis due to excessive consumption and competition among urban, industrial, and agricultural sectors. To address this ...Practical ApplicationsFarmers are constantly battling water scarcity due to rising populations and industrial demands. This pressure forces them to find smarter ways to use water for irrigation. This research offers a new approach to irrigation scheduling ...
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      Multiobjective Optimization Framework for Irrigation Scheduling under Uncertainty

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4311754
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    contributor authorKashkaki, Zahra
    contributor authorMonem, Mohammad Javad
    contributor authorNikbakhsh, Ehsan
    date accessioned2026-08-20T11:08:45Z
    date available2026-08-20T11:08:45Z
    date copyright2025/07/24
    date issued2025
    identifier otherJIDEDH.IRENG-10451.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4311754
    description abstractAbstractThe increasing water demand, driven by population growth and industrial expansion, is intensifying the global water scarcity crisis due to excessive consumption and competition among urban, industrial, and agricultural sectors. To address this ...Practical ApplicationsFarmers are constantly battling water scarcity due to rising populations and industrial demands. This pressure forces them to find smarter ways to use water for irrigation. This research offers a new approach to irrigation scheduling ...
    publisherAmerican Society of Civil Engineers
    titleMultiobjective Optimization Framework for Irrigation Scheduling under Uncertainty
    typeJournal Article
    journal volume151
    journal issue5
    journal titleJournal of Irrigation and Drainage Engineering
    identifier doi10.1061/JIDEDH.IRENG-10451
    journal fristpage04025029-1
    journal lastpage04025029-11
    page11
    treeJournal of Irrigation and Drainage Engineering:;2025:;Volume ( 151 ):;issue: 005
    contenttypeFulltext
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