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    Evaluation of Minor Losses in Connectors Used in Microirrigation Subunits Using Machine Learning Techniques 

    Source: Journal of Irrigation and Drainage Engineering:;2021:;Volume ( 147 ):;issue: 008:;page 04021032-1
    Author(s): Wagner W. A. Bombardelli; Antonio P. Camargo; Luiz H. A. Rodrigues; José A. Frizzone
    Publisher: ASCE
    Abstract: The proper hydraulic design of microirrigation system subunits requires the characterization of minor losses. To this end, machine learning models based on artificial neural networks [multilayer perceptron (MLP)], support ...
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    Evaluating Sensitivity to Clogging by Solid Particles in Irrigation Emitters: Assessment of a Laboratory Protocol 

    Source: Journal of Irrigation and Drainage Engineering:;2020:;Volume ( 146 ):;issue: 011
    Author(s): Diego José de Sousa Pereira; Rogério Lavanholi; Ana C. S. de Araújo; Antonio P. de Camargo; Nassim Ait-Mouheb; José A. Frizzone; Bruno Molle
    Publisher: ASCE
    Abstract: As drip irrigation develops rapidly worldwide, the need for a standardized method to evaluate emitters’ clogging sensitivity is reinforced. Methodologies for evaluating the sensitivity of emitters to clogging enable ...
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