Perspectives on delineating management zones for variable rate irrigation

Haghverdi, Amir; Leib, Brian G.; Washington-Allen, R. A.; Ayers, Paul D.; Buschermohle, Michael J.

doi:10.1016/j.compag.2015.06.019

Cited by 117 publications

(86 citation statements)

References 25 publications

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“…However, because only sectors spanning the entire length of the pivot lateral can be independently managed with speed control, the effectiveness of VRI systems in matching spatial variability in R and achieving pumping cost savings may be lower with speed control than with zone control. Readers could refer to Miller (2015) and Haghverdi et al (2015) for comparisons between these VRI control technologies.…”

Section: Pumping Cost Savingsmentioning

confidence: 99%

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

Heeren²,

Martin

et al. 2016

Trans. ASABE

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Section: Pumping Cost Savingsmentioning

confidence: 99%

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

Heeren²,

Martin

et al. 2016

Trans. ASABE

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“…In this study, we assumed uniformity for soil physical and chemical properties based on a soil survey and land classification report (Hajavi, ). However, recent reports show that the cropping pattern can be detailed by taking into account comprehensive soil physical and chemical study and considering refined irrigation plans by new site‐specific crop management proposed by Cid‐Garcia et al ( and Haghverdi et al (). Consequently, this research improves water productivity and net benefit of farmers by optimized non‐uniform deficit and optimal cropping patterns in arid and semi‐arid regions like Iran.…”

Section: Resultsmentioning

confidence: 99%

Dynamic Programming Model for the System of a Non-Uniform Deficit Irrigation and a Reservoir

2016

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This paper proposes two optimization models for uniform and non‐uniform deficit irrigation. In the first model, the objective function consists of a benefit–cost ratio. The deficit irrigation ratio was determined by dynamic programming, according to the reservoir releases, and minimized a damage function (objective function). The second model used dynamic programming to develop an integrated optimization of non‐uniform deficit irrigation and reservoir operation. The comparison between the results of the models shows that when applying the second model the cropping area, volume of water regulated by the reservoir, annual production, gross income and benefit–cost ratio increased by 48, 43, 48, 47 and 2.4%, respectively. Therefore, integrated dynamic programming of a non‐uniform deficit irrigation and reservoir system can be recommended to increase the integrated productivity of a storage dam and irrigation system. Copyright © 2016 John Wiley & Sons, Ltd.

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“…Previous researchers have developed and evaluated various control scenarios for VRI (Boluwade et al 2016;Daccache et al 2015;Haghverdi et al 2015;Huang et al 2015), but have not quantified reductions in irrigation pumping and energy use by developing prescription maps based on mining undepleted R. Boluwade et al (2016) and Haghverdi et al (2015) compared zone delineation algorithms and determined the optimum number of IMZs for different control scenarios, but did not create prescription maps. Daccache et al (2015) developed prescription maps based on AWC to simulate the effect of grid resolution on application uniformity within IMZs, but the prescribed irrigation depths were arbitrarily chosen.…”

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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Perspectives on delineating management zones for variable rate irrigation

Cited by 117 publications

References 25 publications

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

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

Dynamic Programming Model for the System of a Non-Uniform Deficit Irrigation and a Reservoir

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

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