Pumpage Reduction by Using Variable-Rate Irrigation to Mine Undepleted Soil Water

Lo, Tsz Him; Heeren, Derek M.; Martin, Derrel L.; Mateos, Luciano; Luck, Joe D.; Eisenhauer, Dean E.

doi:10.13031/trans.59.11773

Cited by 22 publications

(26 citation statements)

References 16 publications

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“…10th PCTL of R; it would be impractical to manage for the 1st PCTL of R assuming a normal distribution of R). In this case, some portions of the field will have undepleted soil water (Lo et al 2016). Undepleted R correlates with water stored in the root zone from off-season precipitation that would not be depleted with CI.…”

Section: Vri Prescription Maps For Mining Differences In Rmentioning

confidence: 99%

“…The gSSURGO data include AWC values for soil horizons, along with their depth. Previous work done by Lo et al (2016) summed the AWC to a depth of 1.20 m from gSSURGO (NRCS 2014) to represent the root zone on a 10-m grid which was then resampled to a 1-m grid. This previous work provided access to R data layers for the two study fields.…”

Section: Development Of Root Zone Available Water Capacity Mapsmentioning

confidence: 99%

“…This previous work provided access to R data layers for the two study fields. For additional details, refer to the methods section of Lo et al (2016).…”

Section: Development Of Root Zone Available Water Capacity Mapsmentioning

confidence: 99%

“…VRI has the potential to do so by varying the rate or depth of water applied to different crops and soils within a field (Hedley and Yule 2009;Evans et al 2013). It has been estimated that pumpage of well-managed conventional irrigation (CI) could be reduced by 25 mm year-1 or more for 13% of the center pivot irrigated fields in Nebraska by using VRI to mine undepleted water in higher root zone available water capacity (R) soils (Lo et al 2016). Variable rate application of crop inputs has been studied for decades as a method to improve crop input use efficiency (Hedley 2015).…”

Section: Introductionmentioning

confidence: 99%

“…However, the effect of AWC on seasonal irrigation was based on production functions. Lo et al (2016) estimated pumpage reductions from using VRI to mine undepleted R, but did not evaluate control scenarios.…”

Section: Introductionmentioning

confidence: 99%

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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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Section: Vri Prescription Maps For Mining Differences In Rmentioning

confidence: 99%

Section: Development Of Root Zone Available Water Capacity Mapsmentioning

confidence: 99%

“…This previous work provided access to R data layers for the two study fields. For additional details, refer to the methods section of Lo et al (2016).…”

Section: Development Of Root Zone Available Water Capacity Mapsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

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

View full text Add to dashboard Cite

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Feasibility assessment on use of proximal geophysical sensors to support precision management

Becker

Franz

Abimbola

et al. 2022

Vadose Zone Journal

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A study was conducted at three sites in North Dakota to strengthen understanding of the usefulness of different proximal geophysical data types in agricultural contexts of varying pedology. This study hypothesizes that electromagnetic induction (EMI), gamma‐ray sensor (GRS), cosmic‐ray neutron sensor (CRNS), and elevation data layers are all useful in multiple linear regression (MLR) predictions of soil properties that meet expert criteria at three agricultural sites. In addition to geophysical data collection with vehicle‐mounted sensors, 15 soil samples were collected at each site and analyzed for nine soil properties of interest. A set of model training data was compiled by pairing the sampled soil property measurements with the nearest geophysical data. Eleven models passed expert‐defined uncertainty criteria at Site 1, 16 passed at Site 2, and 14 passed at Site 3. Electrical conductivity (EC), organic matter (OM), available water holding capacity, silt, and clay were predicted at Site 1 with an R‐squared of prediction false(Rpred2false)$(R_{pred}^2)$ > .50 and acceptable root mean square error of prediction (RMSEP). Bulk density (BD), OM, available water capacity, silt, and clay were predicted with Rpred2$R_{pred}^2$ > .50 and acceptable RMSEP at Site 2. At Site 3, no soil properties were predicted with acceptable RMSEP and an Rpred2$R_{pred}^2$ > .50. These results confirm feasibility of our method, and the authors recommend the prioritization of EMI data collection if geophysical data collection is limited to a single mapping effort and calibration soil samples are few.

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Crop Sensing and Its Application in Precision Agriculture and Crop Phenotyping

Bai

2021

Agriculture Automation and Control

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Pumpage Reduction by Using Variable-Rate Irrigation to Mine Undepleted Soil Water

Cited by 22 publications

References 16 publications

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

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

Feasibility assessment on use of proximal geophysical sensors to support precision management

Crop Sensing and Its Application in Precision Agriculture and Crop Phenotyping

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