Results 211 to 220 of about 9,210 (256)
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Evolutionary algorithm for reference evapotranspiration analysis
Computers and Electronics in Agriculture, 2018Abstract Evapotranspiration of important indicator for management and planning of water resources. It is essential to analyze the evapotranspiration in order to improve water resources planning. The main goal of the study was to analyze the evapotranspiration based on several input parameters.
Srdjan Jovic +3 more
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Operational Estimates of Reference Evapotranspiration
Agronomy Journal, 1989AbstractMany forms of the Penman combination equation have been proffered for estimating daily evapotranspiration (ET) by the agricultural reference crops grass and alfalfa (Medicago sativa L.). This study was conducted to evaluate popular forms of the Penman equation, and to develop and evaluate general relationships for estimating daily average ...
Allen, Richard G. +3 more
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Reference and Crop Evapotranspiration
2012Advancements have been made in estimating potential and reference evapotranspiration. Actual crop evapotranspiration estimation still is a challenge due to limited availability of local crop coefficients and large-scale variation in field conditions.
Wossenu Abtew, Assefa Melesse
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Forecasting of reference crop evapotranspiration
Agricultural Water Management, 1993Abstract The first step in the determination of irrigation water requirements for use in project planning, design, and operation commonly involves the prediction of the reference crop evapotranspiration. This paper presents a simple mathematical model for forecasting reference crop evapotranspiration at three stations in California that represent ...
Miguel A. Mariño +2 more
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ESTIMATING REFERENCE EVAPOTRANSPIRATION WITH AN ATMOMETER
Applied Engineering in Agriculture, 2001Measurement or estimation of crop water use is important in scheduling irrigations for efficient water management. Atmometers have been used to measure evaporation, but recent models have not been tested against evapotranspiration (ET) estimated from weather data.
null M. Alam, null T. P. Trooien
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Soft computing approaches for forecasting reference evapotranspiration
Computers and Electronics in Agriculture, 2015The GP, SVM-FFA, ANN and SVM-Wavelet modeling of ET0 was reported.SVM-Wavelet had the smallest RMSE of 0.233mmday-1 in testing phase.The ANN model had the largest RMSE of 0.450mmday-1.SVM-Wavelet model was found to perform better than the GP, SVM-FFA and ANN models.
Milan Gocic +6 more
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Neural computing modeling of the reference crop evapotranspiration
Environmental Modelling & Software, 2012Reference crop evapotranspiration (ET"o) estimation is of importance in irrigation water management for the calculation of crop water requirements and its scheduling, in rainfall-runoff modeling and in numerous other water resources studies. Due to its importance, several direct and indirect methods have been employed to determine the reference crop ...
Adebayo J. Adeloye +2 more
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Sensitivity analysis of reference evapotranspiration to sensor accuracy
Computers and Electronics in Agriculture, 2015Sensor inaccuracy can result in reference evapotranspiration inaccuracy.We performed local and global (Morris and eFAST) sensitivity analysis.Both semi-arid Colorado and humid Florida were evaluated.Sensitivity method results were strongly correlated with each other.Local sensitivity analysis is recommended to weather network managers.
Kendall C. DeJonge +3 more
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GEP and MLR approaches for the prediction of reference evapotranspiration
Neural Computing and Applications, 2018In this study, reference evapotranspiration (ETo) is modeled as one of the major items of hydrological applications from different combinations of climatic variables using two different techniques: gene expression programming (GEP) and multiple linear regression (MLR).
Mohamed A. Mattar, A. A. Alazba
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Modeling reference evapotranspiration with calculated targets. Assessment and implications
Agricultural Water Management, 2015[EN] Due to the absence of experimental reference evapotranspiration (ETo) records, data-driven models con-sider in most cases calculated ETotargets to train and test the models, usually according to the standardFAO56 Penman Monteith equation (FAO56-PM).
Martí Pérez, Pau Carles +4 more
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