A Feedback System to Optimize Crop Water Use Estimates in Irrigation Scheduling

English, Marshall; Sayde, Chadi; Gitelman, Alix I.; Khoury, Laureine El

doi:10.1061/40976(316)104

Cited by 2 publications

(1 citation statement)

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“…The acquired results could be explained and accepted by understanding the basic assumptions of each method, that "ETc-FAO" is based on an approximate method, have several sources of uncertainty, such as using a static "Kc" values without considering the dynamic variables affected by the cultivar of the crop, the on-farm management practices, and the environmental conditions (English et al 2008). Whilst the "REB" methods are direct measurements methods, can be used to accurately to measure site-specific sensible heat flux "H", and represent the dynamic energy balance between the plant canopy and the surrounding environment at the field scale.…”

Section: Figure 3 Half-hourly "Lesr" Vs "Leec" For Rice and Wheat Crops As An Evaluation For "Sr" Calibration Process Crop Water Requiremmentioning

confidence: 99%

Evaluation of Surface Renewal VS. Eddy Covariance Methods to Estimate Cereal Crops Evapotranspiration

Mahmoud

Attaher

Snyder

2020

Journal of Soil Sciences and Agricultural Engineering

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This study aims at evaluating the application of using the surface renewal "SR" method against Eddy Covariance "EC" method, for direct estimation of crops evapotranspiration "ETc" of wheat and rice crops, cultivated under the agro-climatic conditions of the old lands in the Nile Delta region in Egypt. Two field experiments were conducted at Qalubia governorate, in 15 feddan experimental field. The assessments were conducted for rice and wheat crops during the agricultural seasons of 2016. During the two seasons, the surface energy fluxes were recorded each 30 min, including net radiation, soil heat fluxes, sensible heat fluxes by EC method, and sensible heat fluxes by SR method. The SR method was calibrated against the EC method, and the determined latent heat fluxes "LE" of the both methods show high correlation with R 2 around 0.98 for both crops. The comparison between ETc-SR and ETc-EC showed statistically good performance, with NRMSE of 11% for rice, and 16% for wheat. The rice results showed that the widely used ETc-FAO was a slight higher than ETc-SR and ETc-EC, by 5% and 0.7%, respectively. Wheat results showed that the ETc-FAO was higher than ETc-SR and ETc-EC by 30% and 32%, respectively. The results of rice and wheat could be promising for further improvement in using the SR method as reliable, accurate, and cost-effective method to estimate ETc for field crops, while more validation is still needed to cover different types of agricultural practices.

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Section: Figure 3 Half-hourly "Lesr" Vs "Leec" For Rice and Wheat Crops As An Evaluation For "Sr" Calibration Process Crop Water Requiremmentioning

confidence: 99%

Evaluation of Surface Renewal VS. Eddy Covariance Methods to Estimate Cereal Crops Evapotranspiration

Mahmoud

Attaher

Snyder

2020

Journal of Soil Sciences and Agricultural Engineering

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A Web-Based Advisory Service for Optimum Irrigation Management

Hillyer

English

Abourached

et al. 2009

World Environmental and Water Resources Congress 2009

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Optimum irrigation management generally involves partial irrigation of some crops to maximize net returns, particularly when water supplies are limited. This management paradigm is substantially more challenging than full irrigation to maximize crop yields, and few irrigators have the resources or capacity to deal with it quantitatively. Oregon State University and NRCS have created a web-based irrigation advisory system for optimum irrigation management. The system is being developed in two phases. The first phase, now largely completed, supports conventional irrigation scheduling. Key features of the first phase are: (i) application efficiencies are explicitly analyzed for each irrigation strategy considered; (ii) When water supplies or delivery system capacity are limited, the system provides simultaneous scheduling of irrigations in all fields that share a water source; (iii) the user interface permits farm managers to participate directly in searching for an optimal strategy using a robust, interactive web interface to stipulate objectives and constraints of irrigation strategies. A pilot advisory service was initiated in Central Oregon in 2006 and will be made available on the USDA national web farm for use by NRCS cooperators in 2008. The second phase is incorporating new analytical tools that will enable the advisory service to ore effectively support optimal irrigation management, including management of partial irrigation when water supplies are limited. Key elements of the second phase are (i) a statistical model of crop development and potential yield to estimate yields under partial irrigation; (ii) a feedback system to reconcile conflicting estimators of soil moisture depletion. Incorporation of the second phase will begin in 2008, but it is expected that refinement of these tools will continue indefinitely.

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A Feedback System to Optimize Crop Water Use Estimates in Irrigation Scheduling

Cited by 2 publications

References 4 publications

Evaluation of Surface Renewal VS. Eddy Covariance Methods to Estimate Cereal Crops Evapotranspiration

Evaluation of Surface Renewal VS. Eddy Covariance Methods to Estimate Cereal Crops Evapotranspiration

A Web-Based Advisory Service for Optimum Irrigation Management

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