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    Hargreaves versus Penman-Monteith under Humid Conditions 

    Source: Journal of Irrigation and Drainage Engineering:;2007:;Volume ( 133 ):;issue: 001
    Author(s): Slavisa Trajkovic
    Publisher: American Society of Civil Engineers
    Abstract: The Food and Agriculture Organization of the United Nations (FAO) has proposed using the Penman-Monteith equation as the standard for estimating reference evapotranspiration
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    Temperature-Based Approaches for Estimating Reference Evapotranspiration 

    Source: Journal of Irrigation and Drainage Engineering:;2005:;Volume ( 131 ):;issue: 004
    Author(s): Slavisa Trajkovic
    Publisher: American Society of Civil Engineers
    Abstract: The Food and Agriculture Organization of the United Nations (FAO) has proposed using the Penman–Monteith (FAO-56 PM) method as the standard method for estimating reference evapotranspiration
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    Water Surplus Variability Index as an Indicator of Drought 

    Source: Journal of Hydrologic Engineering:;2015:;Volume ( 020 ):;issue: 002
    Author(s): Milan Gocic; Slavisa Trajkovic
    Publisher: American Society of Civil Engineers
    Abstract: Drought assessment requires considering not only precipitation but also the other meteorological parameters such as an evapotranspiration. This paper presents the water surplus variability index (WSVI) as an indicator of ...
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    Estimating Reference Evapotranspiration Using Limited Weather Data 

    Source: Journal of Irrigation and Drainage Engineering:;2009:;Volume ( 135 ):;issue: 004
    Author(s): Slavisa Trajkovic; Srdjan Kolakovic
    Publisher: American Society of Civil Engineers
    Abstract: The FAO-56 Penman-Monteith combination equation (FAO-56 PM) has been recommended by the Food and Agriculture Organization of the United Nations (FAO) as the standard equation for estimating reference evapotranspiration
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    Comparison of Simplified Pan-Based Equations for Estimating Reference Evapotranspiration 

    Source: Journal of Irrigation and Drainage Engineering:;2010:;Volume ( 136 ):;issue: 002
    Author(s): Slavisa Trajkovic; Srdjan Kolakovic
    Publisher: American Society of Civil Engineers
    Abstract: Accurate estimation of reference evapotranspiration
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    Forecasting of Reference Evapotranspiration by Artificial Neural Networks 

    Source: Journal of Irrigation and Drainage Engineering:;2003:;Volume ( 129 ):;issue: 006
    Author(s): Slavisa Trajkovic; Branimir Todorovic; Miomir Stankovic
    Publisher: American Society of Civil Engineers
    Abstract: In recent years, artificial neural networks (ANNs) have been applied to forecasting in many areas of engineering. In this note, a sequentially adaptive radial basis function network is applied to the forecasting of reference ...
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    Estimation of FAO Blaney-Criddle <b><i>b</i></b><b> Factor by RBF Network</b> 

    Source: Journal of Irrigation and Drainage Engineering:;2000:;Volume ( 126 ):;issue: 004
    Author(s): Slavisa Trajkovic; Miomir Stankovic; Branimir Todorovic
    Publisher: American Society of Civil Engineers
    Abstract: This technical note presents the application of a Radial Basis Function (RBF) network to estimate the FAO Blaney-Criddle
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    Closure to “Forecasting of Reference Evapotranspiration by Artificial Neural Networks” by Slavisa Trajkovic, Branimir Todorovic, and Miomir Stankovic 

    Source: Journal of Irrigation and Drainage Engineering:;2005:;Volume ( 131 ):;issue: 004
    Author(s): Slavisa Trajkovic; Branimir Todorovic; Miomir Stankovic
    Publisher: American Society of Civil Engineers
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    Estimation of Reference Evapotranspiration Using Neural Networks and Cuckoo Search Algorithm 

    Source: Journal of Irrigation and Drainage Engineering:;2016:;Volume ( 142 ):;issue: 002
    Author(s): Shahaboddin Shamshirband; Mohsen Amirmojahedi; Milan Gocić; Shatirah Akib; Dalibor Petković; Jamshid Piri; Slavisa Trajkovic
    Publisher: American Society of Civil Engineers
    Abstract: The ability to optimize an artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS) in reference evapotranspiration (
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    Estimation of Reference Evapotranspiration Using Neural Networks and Cuckoo Search Algorithm 

    Source: Journal of Irrigation and Drainage Engineering:;2016:;Volume ( 142 ):;issue: 002
    Author(s): Shahaboddin Shamshirband; Mohsen Amirmojahedi; Milan Gocić; Shatirah Akib; Dalibor Petković; Jamshid Piri; Slavisa Trajkovic
    Publisher: American Society of Civil Engineers
    Abstract: The ability to optimize an artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS) in reference evapotranspiration (ET0) estimation using the cuckoo search algorithm (CSA) is studied in this paper. ...
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