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Journal articles on the topic 'Artificial irrigation'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Han, Liang, Shi Chang Fu, and Hui Hui Hong. "A Study on the Intelligent Bladder Irrigation Technology." Applied Mechanics and Materials 551 (May 2014): 638–41. http://dx.doi.org/10.4028/www.scientific.net/amm.551.638.

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Bladder irrigation is one of the effective measures of prevention and control of urinary tract infection in patients with long-term indwelling catheter. Based on traditional artificial bladder irrigation technology, this paper presents a kind of intelligent bladder irrigator. The control system of this irrigator includes PLC and touch screen. The irrigator uses weighing sensor to monitor the weight of infusion bag in real time and controls pinch valve to switch the infusion tube. This paper has completed the design of the mechanical structure and control system. Intelligent bladder irrigator can realize the automation of traditional bladder irrigation.

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2

Wassermann, G., and A. Schmidt-Kloiber. "Ephemeroptera and Odonata of an artificial Danube backwater irrigation system." River Systems 10, no. 1-4 (September 18, 1996): 493–96. http://dx.doi.org/10.1127/lr/10/1996/493.

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3

Sao, Davy, Hirotaka Saito, Tasuku Kato, and Jirka Šimůnek. "Numerical Analysis of Soil Water Dynamics during Spinach Cultivation in a Soil Column with an Artificial Capillary Barrier under Different Irrigation Managements." Water 13, no. 16 (August 9, 2021): 2176. http://dx.doi.org/10.3390/w13162176.

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Artificial capillary barriers (CBs) are used to improve root zone conditions as they can keep water and nutrients in the root zone by limiting downward percolation. Numerical analysis is one of the promising tools for evaluating CB systems’ performance during the cultivation of leafy vegetables. This study aims to investigate the effects of the CB system on soil water dynamics during spinach cultivation in a soil column under different irrigation scenarios using HYDRUS (2D/3D) by comparing uniform (UNI), line-source (LSI), and plant-targeted (PTI) irrigations combined with alternative irrigation schedules. Simulation results of volumetric soil water contents were generally corresponding to measured data. Simulation results with various hypothetical irrigation scenarios exhibited that the CB was an effective system to diminish percolation losses and improve the root zone’s soil water storage capacity. On the other hand, evaporation loss can be increased as more water is maintained near the surface. While this loss can be significantly minimized by reducing the water application area, the irrigation amount must be carefully defined because applying water in a smaller area may accelerate downward water movement so that the water content at the CB interface can reach close to saturation. In addition to the malfunction of the CB layer, it may also cause a reduction of plant root water uptake (RWU) because the root zone is too wet. Among evaluated irrigation scenarios, irrigating every two days with PTI was the best scenario for the spinach as water use efficiency was greatly improved.

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Vivan, Rodrigo Ricci, Jussaro Alves Duque, Murilo Priori Alcalde, Marcus Vinicius Reis Só, Clóvis Monteiro Bramante, and Marco Antonio Hungaro Duarte. "Evaluation of Different Passive Ultrasonic Irrigation Protocols on the Removal of Dentinal Debris from Artificial Grooves." Brazilian Dental Journal 27, no. 5 (October 2016): 568–72. http://dx.doi.org/10.1590/0103-6440201600725.

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Abstract The aim of this study was to evaluate the influence of different passive ultrasonic irrigation protocols on the removal of debris in artificially created grooves in the cervical, middle and apical root thirds. Forty extracted bovine incisor roots were instrumented to 1 mm of the root apex with a R50 Reciproc instrument and irrigated with 2.5% sodium hypochlorite. The roots were then inserted in a muffle and cleaved into two hemisections. Grooves (3-mm long) were done at 2, 7 and 12 mm from the root apex in one hemisection and filled with dentinal debris. The hemisections were regrouped into the muffle and divided into 4 groups (n=10) according to the final irrigation protocol: Control group: 3x20 s using a #30 gauge needle without agitation of the irrigating solution; Group PUI-s (static passive ultrasonic irrigation): 3x20 s of passive ultrasonic irrigation with the tip of the insert maintained static on the apical third; Group PUI-t (passive ultrasonic irrigation per third): 20 s of PUI in each third; Group PUI-d (passive dynamic ultrasonic irrigation): 3x20 s of PUI dynamically moving the insert in the whole extent of the root canal. In all groups, was used a total of 6 mL of 2.5% sodium hypochlorite as irrigant. After these procedures, the grooves were analyzed with a stereomicroscope and assigned scores as regards removal of the debris. The data were analyzed statistically (a=0.05). The results showed a better cleaning in all the groups where the irrigating solution was agitated with ultrasonic device than in the control group (p<0.05). In the apical third, the PUI-d and PUI-s showed similar performance (p>0.05) and a better cleanness than PUI-t (p<0.05). The dynamic and static methods of agitation of the irrigating solution provided more effective cleaning. PUI-d provided the most completely clean grooves suggesting that its use is the most adequate in cases of teeth with complex canal anatomy.

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5

Lepp, Jonathan Van. "Evidence for Artificial Irrigation in Amratian Art." Journal of the American Research Center in Egypt 32 (1995): 197. http://dx.doi.org/10.2307/40000839.

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6

Kobayashi, Noriyuki, Masanori Katayama, Toshiko Kakihara, Yoshitaka Yoshitake, and Masaya Ueki. "Water Purification in Irrigation Tanks by Enhancing Photosynthesis of Phytoplankton by Artificial Irradiation." Journal of Rainwater Catchment Systems 11, no. 1 (2005): 25–29. http://dx.doi.org/10.7132/jrcsa.kj00004364681.

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7

Perea, R. González, E. Camacho Poyato, P. Montesinos, and J. A. Rodríguez Díaz. "Irrigation Demand Forecasting Using Artificial Neuro-Genetic Networks." Water Resources Management 29, no. 15 (September 20, 2015): 5551–67. http://dx.doi.org/10.1007/s11269-015-1134-4.

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8

Mattar, M. A., A. A. Alazba, and T. K. Zin El-Abedin. "Forecasting furrow irrigation infiltration using artificial neural networks." Agricultural Water Management 148 (January 2015): 63–71. http://dx.doi.org/10.1016/j.agwat.2014.09.015.

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9

Kamyshova, Galina Nickolaevna. "Application of artificial neural networks for irrigation control." Agrarian Scientific Journal, no. 4 (April 22, 2021): 84–88. http://dx.doi.org/10.28983/asj.y2021i4pp84-88.

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Modern methods of precision farming, based on the requirements of the spatio-temporal optimality of irrigation of agricultural crops, require new approaches, since achieving the required accuracy is impossible without the use of modern digital technologies and intelligent methods. The article presents a model of operational irrigation management based on an artificial neural network. The advantage is the small error of the neural network algorithm and its ability to adapt to changing conditions, in contrast to traditional methods, which makes it possible to provide optimal results for different types of soils and types of crops.

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10

Zhao, Zhiqiang, Fuchu Dai, Hong Min, and Xinbin Tu. "Field infiltration of artificial irrigation into thick loess." Engineering Geology 294 (December 2021): 106388. http://dx.doi.org/10.1016/j.enggeo.2021.106388.

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11

Yurasov, Serhii, Viktoriia Kuzmina, and Vitalii Karaulov. "Irrigative assessment of Sasyk water quality." Environmental Problems 6, no. 2 (2021): 69–77. http://dx.doi.org/10.23939/ep2021.02.069.

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The article is dedicated to the problem of artificial Lake Sasyk which was transformed from a salty water estuary into a freshwater reservoir at the expense of the Danube waters. In the first decades, the irrigative water conditions were not achieved due to the arrival of salts from the bottom sediments. Currently, the water quality formation process in Lake Sasyk has stabilized, but the problem of land irrigation remains urgent. The article gives an irrigation assessment of the quality of the Sasyk reservoir according to various methods considering observations in the HPS-2 region from 2007 to 2017. A detailed typification of irrigation waters based on Alekin O. A. water typing is proposed. It was found that mineralization and the content of sodium and magnesium ions in the Sasyk waters promote salinization and alkalinization of soils. For the safe use of this water for irrigation, both chemical reclamation and dilution with water are necessary.

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12

Tsang, S. W., and C. Y. Jim. "Applying artificial intelligence modeling to optimize green roof irrigation." Energy and Buildings 127 (September 2016): 360–69. http://dx.doi.org/10.1016/j.enbuild.2016.06.005.

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13

Sumathi, S., and S. Krishnan. "Artificial Intelligence for Smart Solar Power Irrigation–Comprehensive Review." International Journal of Advanced Science and Engineering 7, no. 3 (February 22, 2021): 1894–903. http://dx.doi.org/10.29294/ijase.7.3.2021.1894-1903.

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14

KAMYSHOVA, G. N. "MODELING OF NEURAL PREDICTIVE CONTROL OF IRRIGATION MACHINES." Prirodoobustrojstvo, no. 1 (2021): 14–22. http://dx.doi.org/10.26897/1997-6011-2021-1-14-22.

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The purpose of the study is to develop new scientific approaches to improve the efficiency of irrigation machines. Modern digital technologies allow the collection of data, their analysis and operational management of equipment and technological processes, often in real time. All this allows, on the one hand, applying new approaches to modeling technical systems and processes (the so-called “data-driven models”), on the other hand, it requires the development of fundamentally new models, which will be based on the methods of artificial intelligence (artificial neural networks, fuzzy logic, machine learning algorithms and etc.).The analysis of the tracks and the actual speeds of the irrigation machines in real time showed their significant deviations in the range from the specified speed, which leads to a deterioration in the irrigation parameters. We have developed an irrigation machine’s control model based on predictive control approaches and the theory of artificial neural networks. Application of the model makes it possible to implement control algorithms with predicting the response of the irrigation machine to the control signal. A diagram of an algorithm for constructing predictive control, a structure of a neuroregulator and tools for its synthesis using modern software are proposed. The versatility of the model makes it possible to use it both to improve the efficiency of management of existing irrigation machines and to develop new ones with integrated intelligent control systems.

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15

Loboda, N. S., and Ya S. Yarov. "Evaluation of influence of irrigation using the resources of donor river (the Dniester) on characteristics of the annual water runoff of the Baraboy River." Ukrainian hydrometeorological journal, no. 21 (March 20, 2018): 42–49. http://dx.doi.org/10.31481/uhmj.21.2018.05.

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The article assesses the characteristics of the annual runoff of the Baraboy River (the Odessa Region), which remains unexplored from the hydrological point of view, under natural conditions and those affected water-related activities, on the basis of the «climate-runoff» model. The main factors of anthropogenic impact on the hydrological regime of the Baraboy River include a large number of artificial reservoirs and intensive irrigation of agricultural areas using the water resources of the Dniester River. The paper presents estimations of changes of the natural runoff of the Baraboy River in the presence of artificial reservoirs and irrigation using the resources of the donor river (the Dniester). It is shown that, under natural conditions of runoff formation, the river would have to dry out during dry and extremely dry years. Additional evaporation from the surface of artificial reservoirs contributes to a decrease of the annual runoff. Following the use of the «climate-runoff» model it was established that waste waters entering the riverbed from agricultural lands irrigated using the water resources of the donor river (the Dniester) can substantially increase the actual runoff of the Baraboy River at its mouth (by 10-30% for a several years' period, depending on the scale of water management alterations). It is substantiated that the flow of return water, if different real areas of irrigation are taken into account, exceeds the loss of the runoff resulting from additional evaporation from the surface of artificial reservoirs. Donor irrigation provides stable parameters of river runoff during dry and extremely dry years. The disadvantage of donor irrigation is that it causes the effect of land flooding. The «climate-runoff» model allows optimization of the water management alterations ensuring the most efficient use of agricultural land, depending on the extent of its irrigation, its location within the basin, selection of main crops that need irrigation. Therefore, the next stage of research is evaluation of the quality of groundwater within the basin of the Baraboy river under conditions of donor irrigation.

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16

Reis, Gerd, Xiaoying Tan, Lea Kraft, Mehmet Yilmaz, Dominik Stephan Schoeb, and Arkadiusz Miernik. "Safe Hb Concentration Measurement during Bladder Irrigation Using Artificial Intelligence." Sensors 21, no. 17 (August 25, 2021): 5723. http://dx.doi.org/10.3390/s21175723.

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We have developed a sensor for monitoring the hemoglobin (Hb) concentration in the effluent of a continuous bladder irrigation. The Hb concentration measurement is based on light absorption within a fixed measuring distance. The light frequency used is selected so that both arterial and venous Hb are equally detected. The sensor allows the measurement of the Hb concentration up to a maximum value of 3.2 g/dL (equivalent to ≈20% blood concentration). Since bubble formation in the outflow tract cannot be avoided with current irrigation systems, a neural network is implemented that can robustly detect air bubbles within the measurement section. The network considers both optical and temporal features and is able to effectively safeguard the measurement process. The sensor supports the use of different irrigants (salt and electrolyte-free solutions) as well as measurement through glass shielding. The sensor can be used in a non-invasive way with current irrigation systems. The sensor is positively tested in a clinical study.

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17

Wild, Alan. "Low Cost Irrigation: Experience from the Past." Outlook on Agriculture 26, no. 3 (September 1997): 179–83. http://dx.doi.org/10.1177/003072709702600308.

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Artificial drainage is usually an essential component of irrigated farming in low rainfall areas, but it is expensive. This article looks at a system without artificial drainage that was used in ancient Mesopotamia for thousands of years. Its three elements were a two-year rotation of winter cereals with a fallow of deep-rooted leguminous weeds, mixed farming with animals grazing the fallow, and a thorough wetting of the soil before the first ploughing. Although there was a high water table the system minimized the threat of salinity and provided nutrients for the cereal crops. Eventually the soils became saline, the possible causes of which are discussed. The principles of the system may have applications to the present day where large capital investment is not appropriate.

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18

Schutte, Brian J., Nina Klypin, and Manoj K. Shukla. "Influence of Irrigation Timing on Disturbance-Induced Reductions in Soil Seedbank Density." Weed Science 64, no. 4 (December 2016): 613–23. http://dx.doi.org/10.1614/ws-d-15-00191.1.

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Studies suggest that disturbance-induced reductions in soil seedbank density are diminished by periods of water scarcity after soil disturbance; however, this hypothesis has yet to be tested. The objectives of this study were (1) to determine the effects of increasing time between soil disturbance and flood irrigation on disturbance-induced reductions in soil seedbank density, and (2) to identify specific soil moisture levels that cause seedbank reductions under flood irrigation. Weed species in this study were junglerice, Palmer amaranth, and yellow foxtail. For Objective 1, artificial seedbanks with known numbers of seeds were disturbed 10, 3, or 0 d prior to flood irrigations under field conditions. For Objective 2, seeds were buried in soil mesocosms that were hydrated to specific soil water potentials (flooded, 0 kPa, −30 kPa, −60 kPa, and −180 kPa) and placed in laboratory conditions favorable for germination. For both objectives, seeds were recovered to determine the percentages of buried seeds that survived the disturbance or moisture treatments. Results for the field study indicated that soil disturbances reduced seedbank persistence of Palmer amaranth but did not affect seedbank persistence of junglerice and yellow foxtail. Disturbance-induced reductions in seedbank density were greatest when soil was disturbed 0 and 3 d prior to flood irrigations. For the laboratory study, results showed that waterlogged soil was not required for seedbank losses because rates of seedbank persistence were greater in saturated soils (0 kPa and flooded) compared to the lower moisture levels. These studies indicate that delays in irrigation can reduce the seedbank reduction potentials of soil disturbance events. Further, irrigation timing effects on disturbed soil seedbanks are likely to occur in all irrigation systems, including those that reduce the amount of water applied compared to flood irrigation.

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19

Basarevsky, A. N., A. M. Kravtsov, and D. S. Shakhrai. "Criterion similarity equation for determining the drops diameter of artificial rain." Proceedings of the National Academy of Sciences of Belarus. Agrarian Series 57, no. 2 (May 18, 2019): 230–37. http://dx.doi.org/10.29235/1817-7204-2019-57-2-230-237.

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Development and implementation of water-saving technologies into irrigation agriculture aimed at increasing the efficiency of irrigation water use, is one of the priorities for achieving guaranteed and stable yields of agricultural crops. Study of parameters of artificial rain is one of the key moments in design of irrigation equipment. Research of the rain formation process is necessary in order to avoid negative effect on soil cover and vegetation, and also to increase efficiency of artificial irrigation, also reducing the power consumption. At the same time, one of the key characteristics is the diameter of drops created by rain-forming devices, which directly affects the other main characteristics of artificial rain and depends on the physical and mechanical properties of water, parameters of working fluid flow and geometric parameters of rain- forming devices. Based on the theoretical studies, a criterion similarity equation was obtained, allowing to calculate the drop diameter using parameters characterizing the process of artificial rain formation, to predict the size of drops when designing sprinkling equipment. The parameters having greatest effect on drop diameter are determined. It was revealed that, in accordance with the criterion equation obtained, the process of formation of artificial rain drops can be characterized by a geometric similarity criterion, as well as by Ohnezorge and Froude number. Calculations on the proposed formulas are well correlated with the results of other authors’ experiments. The studies conducted further allow to significantly improve the accuracy of determining the diameter of drops for various types of sprinkling nozzles, match design parameters and operating fluid flow parameters for the specified conditions.

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Nițu, Anamaria-Cătălina. "Hydrodinamic Processes Control System for Wastewater Using Artificial Intelligence Techniques." Ovidius University Annals of Constanta - Series Civil Engineering 22, no. 1 (December 1, 2020): 7–12. http://dx.doi.org/10.2478/ouacsce-2020-0001.

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Abstract In this study, it is presented a multicriterial approach of the automatic management techniques of industrial installations using wastewater. This has an extremely positive effect on the economical results of the entire irrigation and wastewater equipment. Choosing the automatic management by a neural networks system is the result of several stages of analysis, modelling and simulation of hydrodynamic processes that take place within the wastewater installation on each equipment and in its integrity. The study exposes an analysis and offers a solution of automatic management of the installation of irrigation using wastewater.

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21

Gurovich, L., and B. Herrera. "Tablegrape quality modified by artificial increments in irrigation water salinity." Ciencia e investigación agraria 28, no. 3 (December 5, 2001): 131–43. http://dx.doi.org/10.7764/rcia.v28i3.443.

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22

Lazarovitch, N., M. Poulton, A. Furman, and A. W. Warrick. "Water distribution under trickle irrigation predicted using artificial neural networks." Journal of Engineering Mathematics 64, no. 2 (March 25, 2009): 207–18. http://dx.doi.org/10.1007/s10665-009-9282-2.

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23

Raju, K. Srinivasa, D. Nagesh Kumar, and Lucien Duckstein. "Artificial neural networks and multicriterion analysis for sustainable irrigation planning." Computers & Operations Research 33, no. 4 (April 2006): 1138–53. http://dx.doi.org/10.1016/j.cor.2004.09.010.

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24

Wei, Liangliang, Kena Qin, Qingliang Zhao, Kun Wang, Felix Tetteh Kabutey, and Fuyi Cui. "Utilization of artificial recharged effluent for irrigation: pollutants' removal and risk assessment." Journal of Water Reuse and Desalination 7, no. 1 (March 2, 2016): 77–87. http://dx.doi.org/10.2166/wrd.2016.134.

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The reclaimed water from soil aquifer treatment (SAT) column was reused for irrigation as the source water, pollutants' removal and health risk assessment was analyzed via the comparison with secondary and tertiary effluents. The effect of the SAT pre-treatment on the qualities and growth of different crops (Lachca sativa – lettuce, Brasica rapa var chinensis – pak choi, Cucumis sativus – cucumber, Brassica oleracea – cabbage, and Zea mays – maize) were evaluated. Experimental results demonstrated that the tertiary and SAT treatments had no significant effect on the crop qualities, and could efficiently decrease the accumulation of heavy metals (especially for SAT pre-treatment). Moreover, the carcinogenic risk of the chemical carcinogens for the 1.5 m SAT effluent irrigation declined roughly an order of magnitude as compared with the secondary effluent, and three to four orders of magnitude decreasing of the virus risk. These findings are significant for the safe and cheap reuse of secondary effluent for irrigation purposes.

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Cheng, S., M. Dou, J. Wang, S. Zhang, and X. Chen. "APPROACH TO CONSTRUCTING 3D VIRTUAL SCENE OF IRRIGATION AREA USING MULTI-SOURCE DATA." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-2/W2 (October 19, 2015): 227–33. http://dx.doi.org/10.5194/isprsannals-ii-2-w2-227-2015.

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For an irrigation area that is often complicated by various 3D artificial ground features and natural environment, disadvantages of traditional 2D GIS in spatial data representation, management, query, analysis and visualization is becoming more and more evident. Building a more realistic 3D virtual scene is thus especially urgent for irrigation area managers and decision makers, so that they can carry out various irrigational operations lively and intuitively. Based on previous researchers' achievements, a simple, practical and cost-effective approach was proposed in this study, by adopting3D geographic information system (3D GIS), remote sensing (RS) technology. Based on multi-source data such as Google Earth (GE) high-resolution remote sensing image, ASTER G-DEM, hydrological facility maps and so on, 3D terrain model and ground feature models were created interactively. Both of the models were then rendered with texture data and integrated under ArcGIS platform. A vivid, realistic 3D virtual scene of irrigation area that has a good visual effect and possesses primary GIS functions about data query and analysis was constructed.Yet, there is still a long way to go for establishing a true 3D GIS for the irrigation are: issues of this study were deeply discussed and future research direction was pointed out in the end of the paper.

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Solovyev, Dmitry Aleksandrovich, Galina Nickolaevna Kamyshova, Dmitry Alexandrovich Kolganov, and Nadezhda Nickolaevna Terekhova. "Model of an intelligent control system for an irrigation complex." Agrarian Scientific Journal, no. 2 (February 18, 2021): 103–8. http://dx.doi.org/10.28983/asj.y2021i2pp103-108.

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The article presents the results of modeling an intelligent control system for an irrigation complex. The introduction of precision irrigation technologies requires the development of new approaches to technical support. Traditional approaches based on simple process automation often do not lead to effective solutions. An approach based on the model of intellectualization of automated control systems is proposed. The structure of the intelligent control system for the irrigation complex is substantiated, which is based on an artificial neural network.

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27

Rengasamy, P., and KA Olsson. "Irrigation and sodicity." Soil Research 31, no. 6 (1993): 821. http://dx.doi.org/10.1071/sr9930821.

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The productivity of irrigated agriculture in Australia is low for most crops and one important factor is the physical and chemical constraints caused by sodicity in the rootzone. Over 80% of the irrigated soils are sodic and have degraded structure limiting water and gas transport and root growth. Irrigation, without appropriate drainage, leads to the buildup of salts in soil solutions with increased sodium adsorption ratio (SAR) and can develop perched watertables due to a very low leaching fraction of the soil layers exacerbated by sodicity. Therefore, irrigation management in Australia is closely linked with the management of soil sodicity.The inevitable consequence of continued irrigation of crops and pastures with saline-sodic water without careful management is the further sodification of soil layers and concentration of salt in the rootzone. This will increase the possibility of dissolving toxic elements from soil minerals. The yields of crops can be far below the potential yields determined by climate. The cost of continued use of amendments and fertilizers to maintain normal yields will increase under saline-sodic irrigation. Most of the irrigated soils in Australia need reclamation of sodicity of soil layers at least in the rootzone. The management of these sodic soils involves the application of gypsum, suitable tillage and the maintenance of structure by the buildup of organic matter and biological activity aver time. Then artificial drainage, an essential component of the management of irrigated sodic soils, is possible. By following these soil management practices, irrigated agriculture in Australia will become sustainable with increased yields and high economic returns.

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Kamyshova, Galina, Dmitrii Solovyev, Sergei Zatinatsky, Dmitrii Kolganov, and Nadezhda Terekhova. "Improving the efficiency of circular irrigation machines based on models of neural network irrigation control." E3S Web of Conferences 175 (2020): 05007. http://dx.doi.org/10.1051/e3sconf/202017505007.

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The article presents the results of studies of the operational efficiency of circular irrigation machines based on models of neural network irrigation control. Existing irrigation machines are not fully able to realize their advantages in irrigation due to the high degree of energy intensity. Traditional approaches based only on physical modeling of technical processes and relationships often make it difficult to find effective solutions. Intelligent irrigation control is essential for maximum efficiency and productivity. An approach based on a model of data mining is proposed, namely, control of a sprinkler using a neurocontroller. Most irrigation systems use ON / OFF controllers. These controllers cannot give optimal results for different time delays and different system parameters. The proposed controller based on an artificial neural network was created using MATLAB. The main modeling parameters are water pressure and speed. Neurocontrol, leads to the possible implementation of better and more effective management of irrigation machines.

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ROCHA NETO, ODÍLIO C. DA, ADUNIAS DOS S. TEIXEIRA, ARTHUR P. DE S. BRAGA, CLEMILSON C. DOS SANTOS, and RAIMUNDO A. DE O. LEÃO. "Application of artificial neural networks as an alternative to volumetric water balance in drip irrigation management in watermelon crop." Engenharia Agrícola 35, no. 2 (April 2015): 266–79. http://dx.doi.org/10.1590/1809-4430-eng.agric.v35n2p266-279/2015.

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Precision irrigation seeks to establish strategies which achieve an efficient ratio between the volume of water used (reduction in input) and the productivity obtained (increase in production). There are several studies in the literature on strategies for achieving this efficiency, such as those dealing with the method of volumetric water balance (VWB). However, it is also of great practical and economic interest to set up versatile implementations of irrigation strategies that: (i) maintain the performance obtained with other implementations, (ii) rely on few computational resources, (iii) adapt well to field conditions, and (iv) allow easy modification of the irrigation strategy. In this study, such characteristics are achieved when using an Artificial Neural Network (ANN) to determine the period of irrigation for a watermelon crop in the Irrigation Perimeter of the Lower Acaraú, in the state of Ceará, Brazil. The Volumetric Water Balance was taken as the standard for comparing the management carried out with the proposed implementation of ANN. The statistical analysis demonstrates the effectiveness of the proposed management, which is able to replace VWB as a strategy in automation.

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Tani, Koji, Yoshihiko Matsui, Kentaro Narita, Koichi Ohno, and Taku Matsushita. "Sensitivity analysis using a diffuse pollution hydrologic model to assess factors affecting pesticide concentrations in river water." Water Science and Technology 62, no. 11 (December 1, 2010): 2579–89. http://dx.doi.org/10.2166/wst.2010.540.

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We quantitatively evaluated the factors that affect the concentrations of rice-farming pesticides (an herbicide and a fungicide) in river water by a sensitivity analysis using a diffuse pollution hydrologic model. Pesticide degradation and adsorption in paddy soil affected concentrations of the herbicide pretilachlor but did not affect concentrations of the fungicide isoprothiolane. We attributed this difference to the timing of pesticide application in relation to irrigation and drainage of the rice paddy fields. The herbicide was applied more than a month before water drainage of the fields and runoff was gradual over a long period of time, whereas the fungicide was applied shortly before drainage and runoff was rapid. However, the effects of degradability-in-water on the herbicide and fungicide concentrations were similar, with concentrations decreasing only when the rate constant of degradation in water was large. We also evaluated the effects of intermittent irrigation methods (irrigation/artificial drainage or irrigation/percolation) on pesticide concentrations in river water. The runoff of the fungicide, which is applied near or in the period of intermittent irrigation, notably decreased when the method of irrigation/artificial drainage was changed to irrigation/percolation. In a sensitivity analysis evaluating the synergy effect of degradation and adsorbability in soil, the degradation rate constant in soil greatly affected pesticide concentration when the adsorption coefficient was small but did not affect pesticide concentration when the adsorption coefficient was large. The pesticide concentration in the river water substantially decreased when either or both the degradation rate constant in soil and adsorption coefficient was large.

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Totare, Prof Reshma. "Internet of Things based Irrigation System by using Artificial Neural Network." International Journal for Research in Applied Science and Engineering Technology 7, no. 12 (December 31, 2019): 237–38. http://dx.doi.org/10.22214/ijraset.2019.12040.

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Siesjö, Peter. "Is There a Benefit of Using Artificial Cerebrospinal Fluid for Irrigation?" World Neurosurgery 77, no. 1 (January 2012): 73–75. http://dx.doi.org/10.1016/j.wneu.2011.06.003.

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King, Bradley A., David L. Bjorneberg, Thomas J. Trout, Luciano Mateos, Danielle F. Araujo, and Raimundo N. Costa. "Estimation of Furrow Irrigation Sediment Loss Using an Artificial Neural Network." Journal of Irrigation and Drainage Engineering 142, no. 1 (January 2016): 04015031. http://dx.doi.org/10.1061/(asce)ir.1943-4774.0000932.

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De Meyer, S., M. A. Meire, T. Coenye, and R. J. G. De Moor. "Effect of laser-activated irrigation on biofilms in artificial root canals." International Endodontic Journal 50, no. 5 (April 16, 2016): 472–79. http://dx.doi.org/10.1111/iej.12643.

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Li, Jiusheng, R. E. Yoder, L. O. Odhiambo, and J. Zhang. "Simulation of nitrate distribution under drip irrigation using artificial neural networks." Irrigation Science 23, no. 1 (April 1, 2004): 29–37. http://dx.doi.org/10.1007/s00271-003-0090-6.

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36

Mohamed, Hassan Ibrahim. "Design of alluvial Egyptian irrigation canals using artificial neural networks method." Ain Shams Engineering Journal 4, no. 2 (June 2013): 163–71. http://dx.doi.org/10.1016/j.asej.2012.08.009.

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Friedman, Jonathan M., Michael L. Scott, and William M. Lewis. "Restoration of riparian forest using irrigation, artificial disturbance, and natural seedfall." Environmental Management 19, no. 4 (July 1995): 547–57. http://dx.doi.org/10.1007/bf02471966.

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Borodychev, V. V., and M. N. Lytov. "Irrigation management information system model with integrated elements of artificial intelligence." IOP Conference Series: Earth and Environmental Science 786, no. 1 (June 1, 2021): 012019. http://dx.doi.org/10.1088/1755-1315/786/1/012019.

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Shu, Juan, Huan He Liao, and Yuan Fang Xu. "Water-Saving Monitoring System Design Based on LabView Simulation Platform." Applied Mechanics and Materials 742 (March 2015): 582–85. http://dx.doi.org/10.4028/www.scientific.net/amm.742.582.

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A water-saving irrigation monitoring system was designed based on ZigBee wireless sensor network and LabView simulation platform. This system can solve the problems of unnecessary waste caused by the traditional artificial irrigation water and wiring complex of water-saving control system. The information of each node and data acquisition can be detected by the ZigBee wireless network monitoring system. Upper machine was designed by LabView virtual design platform, and all aspects of organic characteristics of the crop water requirement rule were combined through the fuzzy control decision support system. The date of the irrigation water would be directed, and achieved a fine management of water and scientific irrigation.

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Pogula, Akhila. "GSM based Smart Irrigation System." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (June 30, 2021): 3404–8. http://dx.doi.org/10.22214/ijraset.2021.35676.

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Irrigation is defined as artificial software of water to land or soil. Irrigation manner may be used for the cultivation of agricultural plants at some point of the span of insufficient rainfall and for keeping landscapes. an automatic irrigation machine does the operation of a machine without requiring manual involvement of folks. each irrigation gadget such as drip, sprinkler and surface get automated with the assist of digital home equipment and detectors such as computer, timers, sensors and different mechanical gadgets. the automatic irrigation gadget on sensing soil moisture assignment is supposed for the development of an irrigation machine that switches submersible pumps on or off with the aid of the use of relays to perform this action on sensing the moisture content material of the soil. the main benefit of the usage of this irrigation machine is to reduce human interference and ensure right irrigation. The targets of this paper have been to control the water motor mechanically with the help of soil moisture sensor. in the end ship the facts (operation of the motor) of the farm field to the cell message to the user. an automatic irrigation gadget for efficient water control has been proposed.

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Rodríguez Díaz, Juan Antonio, Rafael González Perea, and Miguel Ángel Moreno. "Modelling and Management of Irrigation System." Water 12, no. 3 (March 4, 2020): 697. http://dx.doi.org/10.3390/w12030697.

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Nowadays, irrigation is becoming an activity of precision, whereby it is necessary to combine information collected from various sources to manage resources in an optimal way. New management strategies, such as big data techniques, sensors, artificial intelligence, unmanned aerial vehicles (UAV) and new technologies in general, are becoming more relevant every day. Related to this, modeling techniques, both at the water distribution network and at farm level, will be essential to gather information from various sources and offer useful recommendations for decision-making processes. In this Special Issue, ten high-quality papers were selected that cover a wide range of issues that are relevant to the different aspects related to irrigation management: water source and distribution network, plot irrigation systems and crop water management.

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Kozyrskyi, Volodymyr, Vitaliy Savchenko, and Oleksandr Sinyavsky. "The Processing osf Irrigation Water and Artificial Fertilizer Solutions in Magnetic Field." International Journal of Energy Optimization and Engineering 9, no. 4 (October 2020): 74–83. http://dx.doi.org/10.4018/ijeoe.2020100105.

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The reclamation of new territories which are limited in energy and materials needs resource- and energy-saving techniques. One of such technique is the processing of water and artificial fertilizer solutions in a magnetic field. The aim of this research is to work out the impact of a magnetic field on water and solutions of artificial fertilizer and to find out the most effective way to process. The authors have figured out that a magnetic field enhances the speed of chemical reactions, the solvability of salts and fertilizers, and increases the concentration of oxygen in a water solution. The most effective processing of water solutions in magnetic field is when magnetic induction is 0,065 Тl, a four-time back magnetization takes place, and the velocity of a solution is 0.4 m/s. These parameters of the processing increase crop yield by 15-20%, decrease the consumption of artificial fertilizer by 10-15%, and enhances the product quality.

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Duan, Xiao Juan. "Research on IOT-Based Smart Garden Project." Applied Mechanics and Materials 608-609 (October 2014): 321–25. http://dx.doi.org/10.4028/www.scientific.net/amm.608-609.321.

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For artificial irrigation in excess or deficiency, not timely and other shortcomings, the paper expounds the application in agricultural and landscape irrigation system based on the wireless sensor network and single chip computer; at the same time the paper designed system architecture of automatic irrigation system based on wireless sensor network. The hardware of the system adopts CC2430 single chip microcomputer as control core, by the real-time acquisition and processing of data in wireless sensor networks, the control data by wireless way is sent to the irrigation controller. The system can real-time monitor the soil temperature and humidity changes, r realize fine flower required and efficient use of water resources.

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Menezes, Paulo L. de, Carlos A. V. de Azevedo, Eduardo Eyng, José Dantas Neto, and Vera L. A. de Lima. "Artificial neural network model for simulation of water distribution in sprinkle irrigation." Revista Brasileira de Engenharia Agrícola e Ambiental 19, no. 9 (September 2015): 817–22. http://dx.doi.org/10.1590/1807-1929/agriambi.v19n9p817-822.

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ABSTRACTDetermining uniformity coefficients of sprinkle irrigation systems, in general, depends on field trials, which require time and financial resources. One alternative to reduce time and expense is the use of simulations. The objective of this study was to develop an artificial neural network (ANN) to simulate sprinkler precipitation, using the values of operating pressure, wind speed, wind direction and sprinkler nozzle diameter as the input parameters. Field trials were performed with one sprinkler operating in a grid of 16 x 16, collectors with spacing of 1.5 m and different combinations of nozzles, pressures, and wind conditions. The ANN model showed good results in the simulation of precipitation, with Spearman's correlation coefficient (rs) ranging from 0.92 to 0.97 and Willmott agreement index (d) from 0.950 to 0.991, between the observed and simulated values for ten analysed trials. The ANN model shows promise in the simulation of precipitation in sprinkle irrigation systems.

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Damp, Jonathan E., Stephen A. Hall, and Susan J. Smith. "Early Irrigation on the Colorado Plateau near Zuni Pueblo, New Mexico." American Antiquity 67, no. 4 (October 2002): 665–76. http://dx.doi.org/10.2307/1593797.

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The introduction of maize agriculture into the Southwest and onto the Colorado Plateau was accompanied by irrigation techniques. Twenty-six radiocarbon dates at two sites, K'yana Chabina and K'yawa:na'a Deyatchinanne, in the Zuni area of New Mexico, establish the use of irrigation canals to between 3,000 and 1,000 years ago. Associated features and the presence of nearby habitation sites independently corroborate the chronology of canal building. The geomorphology of the Zuni landscape and the morphology of the irrigation canals are consistent with the artificial construction of the canals. Pollen evidence points to an agricultural landscape and the cultivation of maize.

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Polenov, Dmitry. "Automated pipeline design algorithm with adaptive irrigation of agricultural facilities." E3S Web of Conferences 193 (2020): 01072. http://dx.doi.org/10.1051/e3sconf/202019301072.

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In this paper are addressed necessary steps to create a costeffective pipeline system for plant irrigation. Particularly, focuses on properties of hydraulic dependencies, graph theory, plant productivity laws, which gives some information to design pipeline system. An algorithm for automated pipeline design. An important advantage of this algorithm is that possibility of changing the amount of irrigation due to the introduction of artificial intelligence in the water supply management system.

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Kovalenko, N. "Improvement of the land reclamation systems in irrigable agriculture of Ukraine in the ХХ century." History of science and technology 6, no. 9 (December 21, 2016): 139–49. http://dx.doi.org/10.32703/2415-7422-2016-6-9-139-149.

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Basic directions of development of theoretical and practical bases of development and introduction of the land reclamation systems are set in irrigable agriculture of Ukraine in the ХХ-th century. The process of improvement of technical providing of the land reclamation systems is represented from the superficial watering to artificial overhead irrigation and tiny irrigation. Their efficiency is justified from the economic, power and ecological points of view.

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Maiolo, Mario, and Daniela Pantusa. "A proposal for multiple reuse of urban wastewater." Journal of Water Reuse and Desalination 8, no. 4 (February 21, 2017): 468–78. http://dx.doi.org/10.2166/wrd.2017.144.

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Abstract The present paper describes a proposal of multiple reuse of wastewater for the town of Camigliatello Silano, in the province of Cosenza, Italy. Camigliatello Silano is a locality devoted to agriculture and to both winter and summer tourism. There are several issues related to the management of water resources of the locality, including the lack of regularization of the discharge of urban wastewater with Italian and European regulations, poor availability of the resource for the irrigation sector, and necessary improvements in winter tourism. To solve these problems, this paper proposes a possible solution for the management of the water resources of the locality, through the reuse of wastewater. The proposed solution provides the reuse for agricultural purposes during the irrigation period and an innovative reuse for the production of artificial snow in the winter season. The reuse for irrigation allows the increase of water resources in agriculture, while the reuse for the production of artificial snow allows a longer skiing period. The proposed solution also solves the problem of regularization of wastewater discharge with positive effects on the environment and water resources.

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Jha, Kirtan, Aalap Doshi, and Poojan Patel. "INTELLIGENT IRRIGATION SYSTEM USING ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING: A COMPREHENSIVE REVIEW." International Journal of Advanced Research 6, no. 10 (September 30, 2018): 1493–502. http://dx.doi.org/10.21474/ijar01/7959.

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Karasekreter, Naim, Fatih Başçiftçi, and Uğur Fidan. "A new suggestion for an irrigation schedule with an artificial neural network." Journal of Experimental & Theoretical Artificial Intelligence 25, no. 1 (March 2013): 93–104. http://dx.doi.org/10.1080/0952813x.2012.680071.

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