scholarly journals Novel approach to evaluate the dynamic variation of wind drift and evaporation losses under moving irrigation systems

2015 ◽  
Vol 135 ◽  
pp. 44-53 ◽  
Author(s):  
Sayed-Hossein Sadeghi ◽  
Troy R. Peters ◽  
Mohammad Z. Amini ◽  
Sparkle L. Malone ◽  
Hank W. Loescher
2017 ◽  
Vol 67 (2) ◽  
pp. 222-232 ◽  
Author(s):  
E. Maroufpoor ◽  
H. Sanikhani ◽  
S. Emamgholizadeh ◽  
Ö. Kişi

2017 ◽  
Vol 182 ◽  
pp. 39-54 ◽  
Author(s):  
S.-H. Sadeghi ◽  
T. Peters ◽  
B. Shafii ◽  
M.Z. Amini ◽  
C. Stöckle

2019 ◽  
Vol 225 ◽  
pp. 105759 ◽  
Author(s):  
Emanuele Baifus Manke ◽  
Bernardo Gomes Nörenberg ◽  
Lessandro Coll Faria ◽  
José Maria Tarjuelo ◽  
Alberto Colombo ◽  
...  

Water SA ◽  
2018 ◽  
Vol 44 (3 July) ◽  
Author(s):  
Samy A Marey ◽  
Mohamed SA El Marazky ◽  
Abdulwahed M Aboukarima

Principal component analysis was merged with the artificial neural network (ANN) technique to predict wind drift and evaporation losses (WDEL) from a sprinkler irrigation system. For this purpose, field experiments were conducted to determine WDEL under different conditions. Data from field experiments and previous studies were used as sample data to train the ANN model. Three models were developed to predict WDEL. In the first model (ANN1), 9 neurons (riser height, main nozzle diameter, auxiliary nozzle diameter, discharge rate of the main nozzle, discharge rate of the auxiliary nozzle, operating pressure, wind speed, air temperature and relative humidity) were used as the input layer. In the second model (ANN2), 7 neurons (riser height, operating pressure, wind speed, air temperature and relative humidity, diameter ratio and discharge ratio) were used as the input layer. The third model (ANN3) used a multivariate technique (PC1, PC2, and PC3). Results revealed that the ANN3 model had the highest coefficient of determination (R2 = 0.8349). The R2 values for the ANN1 and ANN2 models were 0.7792 and 0.4807, respectively. It can be concluded that the ANN3 model has the highest predictive capacity.


2009 ◽  
Vol 9 (3) ◽  
pp. 597-600 ◽  
Author(s):  
A. Bavi ◽  
H. A. Kashkul ◽  
S. Boroomand ◽  
A. Naseri ◽  
M. Albaji

2005 ◽  
Vol 76 (3) ◽  
pp. 139-159 ◽  
Author(s):  
E. Playán ◽  
R. Salvador ◽  
J.M. Faci ◽  
N. Zapata ◽  
A. Martínez-Cob ◽  
...  

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