Test methods for characterising the water distribution from irrigation sprinklers: Design, evaluation and uncertainty analysis of an automated system

Saretta, Ezequiel; Camargo, Antônio Pires de; Botrel, Tarlei Arriel; Frizzone, José Antônio; Koech, Richard; Molle, Bruno

doi:10.1016/j.biosystemseng.2018.01.011

Cited by 15 publications

(10 citation statements)

References 12 publications

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“…Irrigation efficiency is an important consideration when selecting a suitable irrigation method in arid and semi-arid regions (Zhao et al, 2012). Many attempts have been made by researchers in analysing the impact of sprinkler irrigation performance on yield production (Naghedifar et al, 2018;Nasseri, 2019), evaluating application efficiency (Koumanov et al, 1997;Silva, 2017) and irrigation uniformity (Bellido et al, 2018), uncertainty analysis (Saretta et al, 2018), estimation of evaporation and runoff (Al-Ghobari et al, 2018;Silva, 2017), reducing energy requirements (Zapata et al, 2018), headloss modelling (Beilicci and Visescu, 2016) and improvement of wateruse efficiency and accuracy to applying the target irrigation depth (Sobenko et al, 2018). In contrast, recent studies have shown that uniformity is the major component in evaluating sprinkler irrigation (Tian et al, 2017;Yan and Jin, 2004;Zhang et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Developing the non‐dimensional framework for water distribution formulation to evaluate sprinkler irrigation*

Zhao

et al. 2021

Irrigation and Drainage

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Improving the application efficiency and leaching of solutes from the root zone in a sprinkler irrigation system are directly related to the uniformity of water distribution at the field surface. The coefficient of uniformity and distribution uniformity are affected by changes in wind speed and its direction, sprinkler characteristics and variations in operating pressure. The objective of this paper is to present modified equations for evaluating pressurized irrigation systems based on non-dimensional infiltrated depths. The equations were obtained by four data groups including the average of the measured infiltration depths in any quarter. Coefficient of uniformity (CU), distribution uniformity (DU), application efficiency (E a ) and deep percolation (DP) were used as performance indicators to evaluate the sprinkler irrigation system. The suggested method was compared to the existing approach to assess the evaluation indicators. Three data sets of observed information for wheel-move, permanent solid set and semi-solid set irrigation systems were collected in Chaharmahal and Bakhtiari provinces to evaluate the proposed formulation. Furthermore, the relationships between CU and DU were analysed for three scenarios of infiltration depth. Results show that the application efficiency was 12% less than previous equations because of using four average values.

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Section: Introductionmentioning

confidence: 99%

Developing the non‐dimensional framework for water distribution formulation to evaluate sprinkler irrigation*

Zhao

et al. 2021

Irrigation and Drainage

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“…In the laboratory automation field, many platforms with sensing systems have been developed to automate experiments and tests ranging from robotic sample preparation systems 13 to a machine vision-based system for sorting zebrafish embryos 14 and an automated system to test irrigation sprinklers. 15 Recently, the well-developed, open-source software for 3D printing technology allowed for rapid and low-cost prototyping. Based on a 3D printer, Nejatimoharrami et al 16 presented a liquid-handling robot named EvoBot while also developing a 3D printer-based platform together with an imaging system for screening microscopy.…”

Section: Introductionmentioning

confidence: 99%

A Laboratory-Built Fully Automated Ultrasonication Robot for Filamentous Fungi Homogenization

et al. 2019

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This article presents the design and development of a new hands-free ultrasonication robot for filamentous fungi homogenization. The platform was constructed with a modified inexpensive 3D printer, equipped with an upward-facing camera, a custom-designed wash station, and an add-on sonicator. While machine vision accomplished sample well screening based on image subtraction and color thresholding, it also determined the level of fungi homogeneity using color variance. Model fitting reveals that the process of filamentous fungi homogenization using ultrasonication included a period of significant exponential decay. Therefore, this procedure allowed for the rapid homogenization of the fungal samples during the initial stages of ultrasonication treatment followed by a deceleration in homogenization. Furthermore, a factorial experiment showed that higher sonicator power and temperature accelerated the homogenization process, while the cultivation time exhibited no effect on homogenization. In addition, the model parameters were varied between the wells, even when subjected to the same settings, meaning that the system cannot use the same asymptote of the homogeneity level to establish the termination time for different wells. Therefore, we used the standard deviation of the four most recent homogeneity level values to determine the termination time. This method was used for feedback control, forming a fully automated robot that did not require manual intervention during the experiment. A validation test on filamentous fungi demonstrated that the system was able to provide target quality of samples efficiently.

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“…The sprinkler irrigation method is widely applied to save water and counter drought with great improvement with regard to water use efficiency, irrigation uniformity, labor saving, and crop yields [9]. The traditional control strategy for sprinkler irrigation is usually based on the upper limit and lower limit of soil moisture required for the growth of certain plants [10][11][12].…”

Section: Introductionmentioning

confidence: 99%

“…Infiltration is the process of water entering the soil. The main goal of operating an irrigation system is to apply the required infiltration depth for specific plants with high WUE [3,7,9,13,14]. Normally, infiltration rate is determined by measuring, modeling, and predicting the surface runoff [15][16][17].…”

Section: Introductionmentioning

confidence: 99%

Soil Water Infiltration Model for Sprinkler Irrigation Control Strategy: A Case for Tea Plantation in Yangtze River Region

Liu

Montazar

et al. 2019

Agriculture

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The sprinkler irrigation method is widely applied in tea farms in the Yangtze River region, China, which is the most famous tea production area. Knowledge of the optimal irrigation time for the sprinkler irrigation system is vital for making the soil moisture range consistent with the root boundary to attain higher yield and water use efficiency. In this study, we investigated the characteristics of soil water infiltration and redistribution under the irrigation water applications rates of 4 mm/h, 6 mm/h, and 8 mm/h, and the slope gradients of 0°, 5°, and 15°. A new soil water infiltration model was established based on water application rate and slope gradient. Infiltration experimental results showed that soil water infiltration rate increased with the application rate when the slope gradient remained constant. Meanwhile, it decreased with the increase in slope gradient at a constant water application rate. In the process of water redistribution, the increment of volumetric water content (VWC) increased at a depth of 10 cm as the water application rate increased, which affected the ultimate infiltration depth. When the slope gradient was constant, a lower water application rate extended the irrigation time, but increased the ultimate infiltration depth. At a constant water application rate, the infiltration depth increased with the increase in slope gradient. As the results showed in the infiltration model validation experiments, the infiltration depths measured were 38.8 cm and 41.1 cm. The relative errors between measured infiltration depth and expected value were 3.1% and 2.7%, respectively, which met the requirement of the soil moisture range consistent with the root boundary. Therefore, this model could be used to determine the optimal irrigation time for developing a sprinkler irrigation control strategy for tea fields in the Yangtze River region.

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Test methods for characterising the water distribution from irrigation sprinklers: Design, evaluation and uncertainty analysis of an automated system

Cited by 15 publications

References 12 publications

Developing the non‐dimensional framework for water distribution formulation to evaluate sprinkler irrigation*

Developing the non‐dimensional framework for water distribution formulation to evaluate sprinkler irrigation*

A Laboratory-Built Fully Automated Ultrasonication Robot for Filamentous Fungi Homogenization

Soil Water Infiltration Model for Sprinkler Irrigation Control Strategy: A Case for Tea Plantation in Yangtze River Region

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