REVIEW PAPER
A Systematic Review on Estimation of Reference Evapotranspiration under Prisma Guidelines
Ali Raza 1  
,   Yongguang Hu 1  
,   Muhammad Shoaib 2  
,   Manar K. Abd Elnabi 3  
,   Muhammad Zubair 4  
,   Muhammad Nauman 5  
,   Neyha Rubab Syed 6  
 
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1
School of Agricultural Equipment Engineering, Jiangsu University, Zhenjiang 212013, P.R. China
2
Department of Agricultural Engineering, Bahauddin Zakariya University, Multan-Pakistan
3
Botany Department, Faculty of Science, Tanta University, Tanta, 31527, Egypt
4
School of Transportation, Southeast University, Nanjing 21009, China
5
School of Energy and Power Engineering, Jiangsu University, Zhenjiang 212013, P.R. China
6
Department of Environmental Sciences International Islamic University Islamabad-Pakistan
CORRESPONDING AUTHOR
Yongguang Hu   

School of Agricultural Equipment Engineering, Jiangsu University, Zhenjiang 212013, P.R., Zhenjiang, China
Submission date: 2020-11-14
Final revision date: 2021-03-31
Acceptance date: 2021-05-03
Online publication date: 2021-09-29
 
 
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ABSTRACT
Reference evapotranspiration (ETo) is considered an essential factor in determining the meticulous estimation of crop water requirement and effective irrigation scheduling. The accurate estimation of crop water requirement is of critical importance to minimize over and under irrigation problems. Several empirical/semi empirical equations have been developed in the past to quantify ETo. The Penmen-Montieth equation (FAO-PM56) has been globally accepted for estimation of ETo but certain limitations were found to its implementation. The use of soft computing models in estimation of ETo has received enormous interest in recent decade. Many studies have been reported in the literature to apply soft computing models on the improvement of ETo estimation. This study intended to review these studies on basis of accuracy, structure and its flexibility/usefulness, and also made some possible suggestions for future research in this domain.
eISSN:2083-5906
ISSN:1230-1485