Toward a simple real‐time control system for efficient management of furrow irrigation

Khatri, Kanya L.; Smith, R. J.

doi:10.1002/ird.319

Cited by 21 publications

(9 citation statements)

References 9 publications

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“…Improvement of furrow irrigation performance through the process of evaluation, simulation and optimisation with the IRRIMATE TM suite of tools developed by NCEA is now an accepted practice in the cotton industry. Automation and adaptive real-time control can provide an even higher level of irrigation performance (as demonstrated by Raine et al, 1997, and Khatri & Smith, 2007 along with substantial labour savings.…”

Section: Furrow Irrigationmentioning

confidence: 99%

Managing Spatial and Temporal Variability in Irrigated Agriculture Through Adaptive Control

Smith

Raine

McCarthy

et al. 2009

Australian Journal of Multi-Disciplinary Engineering

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Spatial variability in crop production occurs as a result of spatial and temporal variations in soil structure and fertility; soil physical, chemical and hydraulic properties; irrigation applications; pests and diseases; and plant genetics. It is argued that this variability can be managed and the efficiency of irrigation water use increased by spatially variable application of irrigation water to meet the specific needs of individual management zones (areas of crop whose properties are relatively homogenous). The prospects for spatially varied irrigation applications and the need for adaptive control of irrigation application systems are identified. Current work at USQ directed toward adaptive control of furrow irrigation and centre pivot and lateral move machines is described. KEYWORDSReal-time control, furrow irrigation, centre pivot machines, lateral move machines INTRODUCTIONPractitioners of dry-land agriculture have embraced the concept and potential benefits of precision farming and substantial research has been undertaken on the yield mapping and variable rate technology that underlies the practice. Irrigation aspires to be a precision activity but one in which the traditional intention has been to deliver precisely the same quantity of water to each plant. The cost of any non-uniformity in irrigation applications is assumed to be reduced yield and lower efficiencies. However, this assumes that the requirements of each plant are exactly the same and ignores differences in crop water requirements due to spatial differences in soil hydraulic properties, fertility and other inputs. To counter the effects of this non-uniformity, irrigators are tempted apply larger water applications with a resultant reduction in volumetric and water use efficiencies.

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Section: Furrow Irrigationmentioning

confidence: 99%

Managing Spatial and Temporal Variability in Irrigated Agriculture Through Adaptive Control

Smith

Raine

McCarthy

et al. 2009

Australian Journal of Multi-Disciplinary Engineering

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“…The management of gravity systems is not static. Farmers support and experiment with quite sophisticated systems, such as ones relying on computerization, automation, and real-time optimization [7,[9][10][11][12][13][14][15][16]. Further, simple measures of on-farm application efficiency ignore more comprehensive aspects of basin-wide efficiency ditch has "gates" or "valves" installed in the side of the ditch, which are opened to release water from the ditch into furrows or into a border.…”

Section: Introductionmentioning

confidence: 99%

Evaluating Gravity-Flow Irrigation with Lessons from Yuma, Arizona, USA

et al. 2018

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Many consider gravity-flow irrigation inefficient and deride its use. Yet, there are cases where gravity-flow irrigation can play an important role in highly productive and profitable agriculture. This perspective article reviews the literature on the profitability and efficiency of gravity systems. It then reviews the history of water management in Yuma, Arizona, which is one of the most productive agricultural areas in the United States. Through extensive changes in irrigation technologies, changes in production practices, and investments in irrigation infrastructure, Yuma agriculture dramatically shifted from perennial and summer-centric crop production to winter-centric, multi-crop systems that are focused on high-value vegetable crops. These innovations have led to improvement in various irrigation efficiency measures and overall water conservation. Return flows from the system, which were once characterized as an indicator of inefficiency, provide valuable environmental services to the Colorado River Delta ecosystem. Yuma's history illustrates that innovative gravity-flow systems can be productive and water-conserving, and that a system-wide perspective is critical in evaluating irrigation systems.

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“…Inversion of Manning's roughness and field mean infiltration parameters on the basis of surface irrigation process data offers another method [29][30][31]. A stepwise multilevel scheme was developed with inverted infiltration parameters and Manning's roughness for free-draining furrow irrigation systems [32]; the disadvantage of this method is that it requires recession trajectory measurements that are difficult to obtain.…”

Section: Introductionmentioning

confidence: 99%

A Method for Determining the Discharge of Closed-End Furrow Irrigation Based on the Representative Value of Manning’s Roughness and Field Mean Infiltration Parameters Estimated Using the PTF at Regional Scale

Nie

Zhang

et al. 2018

Water

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Infiltration parameters and Manning's roughness are essential input parameters for surface irrigation simulation models. Multiple points of infiltration experiments require time-consuming, costly data collection and problematic calculations of field mean infiltration parameters. This study estimated the field mean infiltration parameters and Manning's roughness values on a regional scale, on the basis of closed-end furrow irrigation experiments conducted at 45 experimental sites on the Guanzhong plain, and evaluated the influence of Manning's roughness on advance trajectory and performance indicators of closed-end furrow irrigation. Then, we present a functional normalization of the Kostiakov equation and pedotransfer function (PTF) to estimate the normalization factors. The proposed method can be used to estimate the field mean infiltration parameters using PTF and the represented Manning's roughness to determine the optimal discharge of closed-end furrow irrigation. The results revealed that the advance trajectory and performance of closed-end furrow irrigation was not sensitive to variations of Manning's roughness, which can be adopted as a representative value (i.e., 0.075) of the maize field. The normalization method was proven to be feasible for the Kostiakov equation, and the PTF reliably estimated the normalization factors. Last, the optimized values of the inflow discharge were determined using the proposed method, with various combinations of furrow lengths and bottom slopes in the study area, and also compared with the inflow discharge determined based on infiltration parameters and Manning's roughness, which were inversed by SIPAR_ID. The results indicated that the inflow discharge values obtained through using the two methods were approximately equal, proving that the proposed method was reliable and easy to use in practice.

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Toward a simple real‐time control system for efficient management of furrow irrigation

Cited by 21 publications

References 9 publications

Managing Spatial and Temporal Variability in Irrigated Agriculture Through Adaptive Control

Managing Spatial and Temporal Variability in Irrigated Agriculture Through Adaptive Control

Evaluating Gravity-Flow Irrigation with Lessons from Yuma, Arizona, USA

A Method for Determining the Discharge of Closed-End Furrow Irrigation Based on the Representative Value of Manning’s Roughness and Field Mean Infiltration Parameters Estimated Using the PTF at Regional Scale

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