Adoption of site-specific variable rate sprinkler irrigation systems

Evans, Robert G.; LaRue, Jake; Stone, K. C.; King, Bradley A.

doi:10.1007/s00271-012-0365-x

Cited by 131 publications

(113 citation statements)

References 34 publications

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“…Sector control was only able to achieve 28-31% of the pumpage reduction achieved by 12.5 m lateral zone control, although equipment costs are much lower for sector control than zone control. Sector control costs less than $5000 and is free on some new pivot panels; zone control VRI systems have been estimated to be in the range of $200-$550 ha -1 (Evans et al 2013).…”

Section: Energy Analysismentioning

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).…”

Section: Introductionmentioning

confidence: 99%

“…Currently, VRI is likely under-utilized with most zone control VRI systems being used to address regions of a field that do not receive irrigation. These regions are often waterways, ponds, roads, drainage ways or rocky outcrops (Evans et al 2013).…”

Section: Introductionmentioning

confidence: 99%

“…Using R and soil apparent soil electrical conductivity (ECa), researchers have developed daily soil water status maps that could assist in VRI management (Hedley and Yule 2009). Adoption of VRI has been relatively slow, indicating a need for increased management support and estimates of potential economic impact (Feinerman and Voet 2000;Evans et al 1996Evans et al , 2013.…”

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: Energy Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 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

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“…Based on the relative water-use efficiencies for increasing yield observed by Peters and Evett [14] (TTT = 0.909 kg dry biomass/m 3 irrigation water, SMS = 0.961 kg dry biomass/m 3 irrigation water), a water-use adjustment factor for each crop was calculated for the precision irrigation scenario informed by unmanned aerial vehicle monitoring. [15]; c [52,55]; d [14]; e [63,64]; f [49].…”

Section: Production Cost and Water Use Factors For Remote Monitoring mentioning

confidence: 99%

Addressing Groundwater Declines with Precision Agriculture: An Economic Comparison of Monitoring Methods for Variable-Rate Irrigation

West

Kovacs²

2017

Water

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Irrigated row-crop agriculture is contributing to declining groundwater in areas such as the Mississippi Delta region of eastern Arkansas. There is a need to move toward sustainable levels of groundwater withdrawal. Recent improvements in remote monitoring technologies such as wireless soil moisture sensors and unmanned aerial vehicles offer the potential for farmers to effectively practice site-specific variable-rate irrigation management for the purpose of applying water more efficiently, reducing pumping costs, and retaining groundwater. Soil moisture sensors and unmanned aerial vehicles are compared here in terms of their net returns per acre-foot and cost-effectiveness of aquifer retention. Soil moisture sensors ($9.09 per acre-foot) offer slightly more net returns to producers than unmanned aerial vehicles ($7.69 per acre-foot), though costs associated with unmanned aerial vehicles continue to drop as more manufacturers enter the market and regulations become clear.

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Moran eigenvector filtering of multi‐year yield data with application to zone development

Long¹,

Griffith

Kvien

et al. 2021

Agrosystems Geosci & Env

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A time‐series of yield monitor data may be used to identify field areas of consistently low or high yield to serve as productivity zones for site‐specific crop management. However, transient factors that affect yield in 1 yr, but not every year, detract from this approach. The objective of this study was to illustrate Moran eigenvector spatial filtering (MESF) with results from analysis of multi‐year crop yield data from two farm fields in the United States. The MESF method accounts for temporal autocorrelation within a common factor map representing the correlation across years and partitions stochastic geographic variation into spatially structured and unstructured components. Crop rotation data were utilized from a dryland field in east‐central South Dakota and an irrigated field in southwestern Georgia. A random effects (RE) model was estimated that utilized eigenfunctions of a geographic connectivity matrix to account for spatially structured random effects (SSRE) and unstructured random effects (SURE) in standardized z scores of multi‐year crop yield. The MESF method was evaluated with conventional averaging of unfiltered yield data as a reference for comparison. In South Dakota, the SSRE accounted for 26% of the yield variance shared across years. Distinct patterns appeared to be related to changes in soil type and landscape position. The Georgia field yielded similar results. The MESF is effective for revealing structured variation in a time series of yield monitor data and may be useful for defining productivity zones within fields.

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Adoption of site-specific variable rate sprinkler irrigation systems

Cited by 131 publications

References 34 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

Addressing Groundwater Declines with Precision Agriculture: An Economic Comparison of Monitoring Methods for Variable-Rate Irrigation

Moran eigenvector filtering of multi‐year yield data with application to zone development

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