2020
DOI: 10.3390/w12020520
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Improving Irrigation Scheduling Using MOSES Short-Term Irrigation Forecasts and In Situ Water Resources Measurements on Alluvial Soils of Lower Danube Floodplain, Romania

Abstract: In recent decades, water scarcity has become a frequent and widespread phenomenon. Intensification of water scarcity will have economic impact on the main water-using sectors. The highest pressure on the water resources is exerted by agriculture. Irrigation is the largest consumer of the agriculture sector and the efficient use of water is of utmost importance. The aim of this study is to explore the capability of an innovative platform that combines Earth Observation data, weather forecasts and numerical simu… Show more

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Cited by 8 publications
(5 citation statements)
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“…Nevertheless, this automated greenhouse system only employed constant thresholds for environment variables to control the dynamic behavior of greenhouse micro-climate. In [17], an innovative irrigation scheduling was developed combining earth observation data, weather forecasts, and numerical simulations to plan more precisely water allocation in space and time in the irrigated agriculture. The different types of weather forecasts were taken into account for irrigation scheduling [18].…”
Section: Introductionmentioning
confidence: 99%
“…Nevertheless, this automated greenhouse system only employed constant thresholds for environment variables to control the dynamic behavior of greenhouse micro-climate. In [17], an innovative irrigation scheduling was developed combining earth observation data, weather forecasts, and numerical simulations to plan more precisely water allocation in space and time in the irrigated agriculture. The different types of weather forecasts were taken into account for irrigation scheduling [18].…”
Section: Introductionmentioning
confidence: 99%
“…CRITERIA‐1D assumes a multi‐layered soil and computes daily actual evaporation and transpiration, water flows among soil layers, deep drainage, surface and subsurface flows. The soil water retention and hydraulic conductivity are described by a modified version of van Genuchten–Mualem model (Chitu et al, 2020).…”
Section: Methodsmentioning
confidence: 99%
“…A hybrid framework that exploits models and observation data that could be applied to estimate daily irrigation water demand was introduced [40]. Earth observation data, weather forecasts, and numerical simulations were combined to produce short-term irrigation forecasts in order to plan more precisely water allocation in space and time in irrigated agriculture [41]. Crop irrigation water needs in an operative farm in the South of Italy were forecasted by applying a satellite-driven soil water balance model coupled with a meteorological forecast model [42].…”
Section: Precision Agriculturementioning
confidence: 99%