Evaluation of an operational real-time irrigation scheduling scheme for drip irrigated citrus fields in Picassent, Spain

Dazhi Li, Harrie-Jan Hendricks Franssen, Xujun Han, Miguel Angel Jiménez-Bello, Fernando Martínez Alzamora and Harry Vereecken

Agricultural Water Management, 2018, vol. 208, issue C, 465-477

Abstract: Irrigated agriculture is very important for securing food production for an increasing population over the next decades. Given scarcity of water resources, optimal irrigation management is needed to reduce water while realizing maximal crop productivity. The new method of integrating soil water content measurements and the Community Land Model (CLM) using sequential data assimilation (DA) is promising to improve the prediction of soil water status and efficiently design irrigation strategies. Soil water content measured by FDR (Frequency Domain Reflectometry) was assimilated into CLM by LETKF (Local Ensemble Transform Kalman Filter) to improve model predictions. Atmospheric input data from GFS (Global Forecast System) were used to force CLM in order to predict short-term soil water contents. The irrigation amount was then calculated on the basis of the difference between predicted and targeted soil water content over the root zone.

Keywords: Irrigation scheduling; Data assimilation; Real-time control; Citrus trees; Land surface model; Stem water potential method (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:agiwat:v:208:y:2018:i:c:p:465-477

DOI: 10.1016/j.agwat.2018.06.022

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