Feasibility study of monitoring the total available water content using non‐invasive electromagnetic induction‐based and electrode‐based soil electrical conductivity measurements

Hezarjaribi, Aboutaleb; Sourell, Heinz

doi:10.1002/ird.289

Cited by 41 publications

(30 citation statements)

References 28 publications

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“…With the agricultural sector accounting for 80-90% of all consumptive water use and an average water use efficiency of less than 45% (Hezarjaribi and Sourell 2007;Molden 2007), major advances must be made in irrigation water management. Currently, irrigation is a key component of global food security, accounting for ~40% of global food production and ~20% of all arable land (Molden 2007;Schultz et al 2005).…”

Section: Introductionmentioning

confidence: 99%

“…Consequently, expected crop yield may differ in sub-regions of a field due to variations in SWC and physical properties. Variable-rate irrigation (VRI) and variable-speed irrigation (VSI) systems can vary application depth in relation to the spatial variability of soil properties (Hezarjaribi and Sourell 2007). VSI varies the speed of the pivot to adjust application depth in sectors and VRI uses nozzle control to vary application depth in irregularly shaped management zones.…”

Section: Introductionmentioning

confidence: 99%

“…The major limitation to implementing this technology often lies in the management of spatial datasets and the writing of irrigation prescription maps that address variables impacting yield and SWC (Evans et al 1996;Howell et al 2012). This requires efficient and accurate methods for measuring the subfield scale spatial variability of soil properties including porosity, saturated hydraulic conductivity, unsaturated hydraulic conductivity, available water, texture and depth (Hezarjaribi and Sourell 2007;Pan et al 2013;Ranney et al 2015). Managing irrigation rates and times based on hydraulic properties allows for irrigators to prescribe application depths based on the SWC below field capacity and above maximum allowable depletion.…”

Section: Introductionmentioning

confidence: 99%

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Integration of hydrogeophysical datasets and empirical orthogonal functions for improved irrigation water management

et al. 2018

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Precision agriculture offers the technologies to manage for infield variability and incorporate variability into irrigation management decisions. The major limitation of this technology often lies in the reconciliation of disparate data sources and the generation of irrigation prescription maps. Here the authors explore the utility of the cosmic-ray neutron probe (CRNP) which measures volumetric soil water content (SWC) in the top ~ 30 cm of the soil profile. The key advantages of CRNP is that the sensor is passive, non-invasive, mobile and soil temperature-invariant, making data collection more compatible with existing farm operations and extending the mapping period. The objectives of this study were to: (1) improve the delineation of irrigation management zones within a field and (2) estimate spatial soil hydraulic properties to make effective irrigation prescriptions. Ten CRNP SWC surveys were collected in a 53-ha field in Nebraska. The SWC surveys were analyzed using Empirical Orthogonal Functions (EOFs) to isolate the underlying spatial structure. A statistical bootstrapping analysis confirmed the CRNP + EOF provided superior soil hydraulic property estimates, compared to other hydrogeophysical datasets, when linearly correlated to laboratory measured soil hydraulic properties (field capacitydigitalcommons.unl.edu F i n k e n b i n e r e t a l . i n P r e c i s i o n A g r i c u lt u r e , 2 0 1 8 2estimates reduced 20-25% in root mean square error). The authors propose a soil sampling strategy for better quantifying soil hydraulic properties using CRNP + EOF methods. Here, five CRNP surveys and 6-8 sample locations for laboratory analysis were sufficient to describe the spatial distribution of soil hydraulic properties within this field. While the proposed strategy may increase overall effort, rising scrutiny for agricultural water-use could make this technology cost-effective.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Integration of hydrogeophysical datasets and empirical orthogonal functions for improved irrigation water management

et al. 2018

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“…As a result, the spatial resolution of these data has been relatively low, historically because of the difficulty of collecting the data. The scale at which they need to be collected has made it impractical to map sub-field variations (Sudduth et al 2001;Hezarjaribi and Sourell 2007). Understanding geospatial variability in soil texture distribution and how R is related may assist in making site-specific management decisions (Godwin and Miller 2003).…”

Section: Introductionmentioning

confidence: 99%

A geospatial variable rate irrigation control scenario evaluation methodology based on mining root zone available water capacity

Miller¹,

Luck

Heeren

et al. 2017

Precision Agric

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Increasing concern for sustainable water use has the agriculture industry working toward higher efficiency in use of irrigation water. Recent advancements have improved the capabilities of center pivot irrigation systems to vary water application depths across the field, a technology known as variable rate irrigation (VRI). The goal of this study was to provide a geospatial method for potential VRI technology adopters to evaluate control scenarios and potential water savings using freely available datasets. Root zone available water capacity (R) was estimated spatially across two case study fields using the Natural Resources Conservation Service Gridded Soil Survey Geographic Database. The difference in application depth between conventional irrigation (CI) and both sector and zone control VRI was then estimated based on R. Prescription maps were developed to mine undepleted soil water from each irrigation management zone based on a soil water balance approach with a management-allowed depletion of 50%. For CI management, the areal 10th percentile (PCTL) of R for the field was used, while for VRI the 10th PCTL of R for each management zone was used. The highest reduction in irrigation depth was 18 mm where higher digitalcommons.unl.eduM i l l e r e t a l . i n P r e c i s i o n A g r i c u l t u r e , 2 0 1 7 2values of R were estimated; however, field average reductions ranged from 0 to 12 mm. The greatest improvements in pumpage reduction resulted from converting from sector control to zone control, while increasing the angular resolution only had a minor impact. Energy savings generally increased with higher VRI control resolution. Conclusions support previous notions that VRI may result in small pumping water reductions for some fields; however, improved water distribution may be achieved throughout the field.

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“…Approximately 70% of the global water withdrawal and 85% of the consumptive water use is for irrigation (Döll & Siebert 1999;Siebert et al 2005;Goodwin & O'Conell 2008). Unfortunately, water use efficiency (WUE) in the agricultural sector is very poor with more than 50% water losses (Hezarjaribi & Sourell 2007). A major goal in most irrigation management is to optimize irrigation water use efficiency (IWUE) not only to produce high quality, high yielding crops, but also to ensure that runoff and leaching are minimized (Sadler et al 2000;AlKaradsheh et al 2002;Chávez et al 2010;Dursun & Ozden 2011).…”

mentioning

confidence: 99%

Grid-based simulation of a lateral move irrigation system

Grashey-Jansen

2013

Soil & Water Res.

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A central objective in irrigation science is the improvement of the water use efficiency (WUE). Mostly the focus is laid on improvements and innovations in irrigation technology. The characteristics of soils are often considered to be of secondary importance or totally disregarded. This paper reports on the simulation of a sensor network based irrigation system. The simulation was designed for a lateral move irrigation system with a notional irrigated area of 100 × 200 m. A grid-based network with soil specific calibrated and wireless moisture sensors (SMSN) captures the actual soil water content and calculates the corresponding water tensions simultaneously. The simulation in this paper is presented with two different modes of irrigation: the undifferentiated and evenly distributed irrigation (UDI-mode) and the differentiated precision irrigation (DPI-mode) which is adapted to the soil properties. The UDI-mode has been the most frequently applied practice so far and connected with an uncontrolled application of irrigation water. A supply under or over the real water demand of the plants is the consequence. In the DPI-mode the amount of given water is controlled by the soil water tensions (SWTs) calculated by pedotransfer functions (PTFs).

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Feasibility study of monitoring the total available water content using non‐invasive electromagnetic induction‐based and electrode‐based soil electrical conductivity measurements

Cited by 41 publications

References 28 publications

Integration of hydrogeophysical datasets and empirical orthogonal functions for improved irrigation water management

Integration of hydrogeophysical datasets and empirical orthogonal functions for improved irrigation water management

A geospatial variable rate irrigation control scenario evaluation methodology based on mining root zone available water capacity

Grid-based simulation of a lateral move irrigation system

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