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Journal articles on the topic 'Optimal irrigation schedule'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Nixon, J. B., G. C. Dandy, and A. R. Simpson. "A genetic algorithm for optimizing off-farm irrigation scheduling." Journal of Hydroinformatics 3, no. 1 (2001): 11–22. http://dx.doi.org/10.2166/hydro.2001.0003.

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This paper examines the use of genetic algorithm (GA) optimization to identify water delivery schedules for an open-channel irrigation system. Significant objectives and important constraints are identified for this system, and suitable representations of these within the GA framework are developed. Objectives include maximizing the number of orders that are scheduled to be delivered at the requested time and minimizing variations in the channel flow rate. If, however, an order is to be shifted, the irrigator preference for this to be by ±24 h rather than ±12 h is accounted for. Constraints in

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2

Suryavanshi, A. R., and J. Mohan Reddy. "Optimal operation schedule of irrigation distribution systems." Agricultural Water Management 11, no. 1 (1986): 23–30. http://dx.doi.org/10.1016/0378-3774(86)90033-8.

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Fu, Qiang, Liyan Yang, Heng Li, et al. "Study on the Optimization of Dry Land Irrigation Schedule in the Downstream Songhua River Basin Based on the SWAT Model." Water 11, no. 6 (2019): 1147. http://dx.doi.org/10.3390/w11061147.

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The optimization of irrigation schedules is of great significance for saving water resources and ensuring food security. For the downstream of the Songhua River Basin, the key growth stages of crops were determined by the coupling degree between the effective precipitation and crop water requirement and the sensitivity indexes of the crop water production function. A Soil and Water Assessment Tool (SWAT) model was used to simulate 16 irrigation schedules in different scenarios. Taking four factors into consideration, Analytic Hierarchy Process (AHP)-Gray Interconnect Degree Analysis (GIDA) was

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Kurnia Hidayat, Asep, R. R. El Akbar, and A. S. Kosnayani. "Initial Dynamic System Design for Optimization of Gravity Irrigation Water Management (Open Gravitation Irrigation)." APTIKOM Journal on Computer Science and Information Technologies 4, no. 2 (2019): 74–80. http://dx.doi.org/10.11591/aptikom.j.csit.32.

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The available water condition is smaller than the need of irrigation water of agricultural land that is needed is an expression of conflict in the field. To overcome this is by the regulation of several parameters, including the regulation of planting schedule and reduction of land area. The model of irrigation system used is based on the optimum area regulation of cultivable land. Parameters used to overcome this problem are planting schedule, land failure risk and k factor. The k factor is the ratio of water availability to the water requirement. The output of this system is optimal net bene

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Soentoro, Edy Anto, Erlangga Perwira, Yadi Suryadi, and Winskayati. "Optimization of irrigation water use to increase the benefit of agricultural products." MATEC Web of Conferences 159 (2018): 01026. http://dx.doi.org/10.1051/matecconf/201815901026.

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Shortage of irrigation water supply in dry season prevents many farmers from growing their crops, and the annual benefit from agricultural products will decrease as much as the area of irrigation fields which have lack of water. The objective of this study is to determine the maximum benefit from agricultural products based on water availability, by determining the appropriate cropping pattern and maximum planting areas through linear programming. The case-study location is at Leuwi Kuya Irrigation Region. Planting schedule is selected based on minimum water shortage from simulation of 6 alter

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Li, Jiang, Xiyun Jiao, Hongzhe Jiang, Jian Song, and Lina Chen. "Optimization of Irrigation Scheduling for Maize in an Arid Oasis Based on Simulation–Optimization Model." Agronomy 10, no. 7 (2020): 935. http://dx.doi.org/10.3390/agronomy10070935.

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In arid regions, irrigation scheduling optimization is efficient in coping with the shortage of agricultural water resources. This paper developed a simulation–optimization model for irrigation scheduling optimization for the main crop in an arid oasis, aiming to maximize crop yield and minimize crop water consumption. The model integrated the soil water balance simulation model and the optimization model for crop irrigation scheduling. The simulation model was firstly calibrated and validated based on field experiment data for maize in 2012 and 2013, respectively. Then, considering the distri

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Zhai, Biying, Qiang Fu, Tianxiao Li, et al. "Rice Irrigation Schedule Optimization Based on the AquaCrop Model: Study of the Longtouqiao Irrigation District." Water 11, no. 9 (2019): 1799. http://dx.doi.org/10.3390/w11091799.

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As a crop with high water consumption, rice is an important measure of efforts to improve agricultural irrigation efficiency and alleviate the contradiction between the supply and demand of agricultural water resources. This paper takes the Longtouqiao irrigation district, in the hinterland of the Sanjiang Plain, a major rice-producing area in northern China, as an example, and the AquaCrop crop growth model and entropy-cloud model are jointly used to develop a rice irrigation schedule optimization model based on three kinds of typical rainfall years. Different irrigation schemes are establish

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Linker, Raphael, and Isaya Kisekka. "Model-Based Deficit Irrigation of Maize in Kansas." Transactions of the ASABE 60, no. 6 (2017): 2011–22. http://dx.doi.org/10.13031/trans.12341.

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Abstract. Maize is the dominant irrigated crop in Kansas. In recent years, as a result of declining groundwater levels in the Ogallala aquifer and diminished well capacities, farmers are turning to deficit irrigation strategies. This study demonstrates the potential of model-based optimization for determining adequate soil water depletion levels. CERES-Maize was used as surrogate crop, while the AquaCrop model was used in an optimization procedure that determined the optimal water depletion levels. A multi-objective optimization framework was used to determine several combinations of optimal w

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9

Wang, Dingbao, and Ximing Cai. "Optimal estimation of irrigation schedule – An example of quantifying human interferences to hydrologic processes." Advances in Water Resources 30, no. 8 (2007): 1844–57. http://dx.doi.org/10.1016/j.advwatres.2007.02.006.

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10

Robertson, D., M. Wood, and Q. J. Wang. "Estimating hydraulic parameters for a surface irrigation model from field conditions." Australian Journal of Experimental Agriculture 44, no. 2 (2004): 173. http://dx.doi.org/10.1071/ea02191.

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Border-check irrigation is the most common method of irrigating pastures in Northern Victoria. To make the best use of a border-check irrigation system, consideration needs to be given to the irrigation schedule and irrigation event management. Surface irrigation models can provide an inexpensive and rapid method for identifying optimal irrigation event performance. The most common difficulty encountered when using surface irrigation models is determining appropriate hydraulic parameters. Two experiments were conducted to investigate the relationship between hydraulic parameters of the Analyti

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Manikandan, M., G. Thiyagarajan, S. Thenmozhi, S. K. Natarajan, J. Bhuvaneswari, and N. K. Prabhakaran. "Optimization of Irrigation and Fertigation Scheduling for Sustainable Sugarcane Initiative (SSI) through Subsurface Drip Irrigation in Western Zone of Tamil Nadu." Current Agriculture Research Journal 7, no. 1 (2019): 117–21. http://dx.doi.org/10.12944/carj.7.1.14.

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Sustainable Sugarcane Initiative (SSI) under Sub Surface Drip Irrigation (SSDI) is gaining momentum among the farmers because of more output with less input. Even though the benefits of SSI under SSDI are realized by farmers, development of optimal irrigation and fertigation schedule is need of the hour for Western Agro-climatic zone of Tamil Nadu. Field trials were carried out at Agricultural Research Station, Bhavanisagar from 2014 to 2017 to develop an optimal irrigation and fertigation schedule for SSI for Western Agro-climatic zone. The experiment was taken in a randomized block design wi

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Delalieux, S., B. Delauré, L. Tits, M. Boonen, A. Sima, and P.-J. Baeck. "High resolution strawberry field monitoring using the compact hyperspectral imaging solution COSI." Advances in Animal Biosciences 8, no. 2 (2017): 156–61. http://dx.doi.org/10.1017/s2040470017001297.

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In strawberry production, a balanced and accurate irrigation schedule is essential, because of the high sensitivity of strawberry plants to water deficits and waterlogging. The optimal irrigation management strategy can, however, only be obtained by an accurate crop monitoring system. To replace the current visual inspection methods, which are subjective, time consuming and labour-intensive, the performance of the COmpact hyperSpectral Imaging system (COSI) mounted on an RPAS (Remotely Piloted Aircraft System) was evaluated. The study, focusing on different irrigation treatments in strawberry

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An, Sewoong, Seon Woo Park, and Yurina Kwack. "Growth of Cucumber Scions, Rootstocks, and Grafted Seedlings as Affected by Different Irrigation Regimes during Cultivation of ‘Joenbaekdadagi’ and ‘Heukjong’ Seedlings in a Plant Factory with Artificial Lighting." Agronomy 10, no. 12 (2020): 1943. http://dx.doi.org/10.3390/agronomy10121943.

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Irrigation scheduling and programming are very effective tools for efficient water use in a plant factory with artificial lighting (PFAL). In order to confirm optimal irrigation schemes for the production of cucumber scions and rootstocks in a PFAL, in this study, four different start points of irrigation were applied by measuring the weight of the plug tray to compare the growth of cucumber scions and rootstocks cultivated in a PFAL. Additionally, the growth characteristics of cucumber seedlings grafted with scions and rootstocks cultivated between in a greenhouse and in a PFAL were investiga

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Kallestad, Jeffery C., Theodore W. Sammis, John G. Mexal, and John White. "Monitoring and Management of Pecan Orchard Irrigation: A Case Study." HortTechnology 16, no. 4 (2006): 667–73. http://dx.doi.org/10.21273/horttech.16.4.0667.

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Optimal pecan (Carya illinoiensis) production in the southwestern United States requires 1.9 to 2.5 m of irrigation per year depending on soil type. For many growers, scheduling flood irrigation is an inexact science. However, with more growers using computers in their businesses, and with soil moisture sensors and computerized data-collection devices becoming more inexpensive and accessible, there is potential to improve irrigation and water use efficiencies. In this project two low-cost soil monitoring instruments were introduced to a group of pecan producers. They were also given instructio

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Le Page, Michel, Lionel Jarlan, Marcel M. El Hajj, Mehrez Zribi, Nicolas Baghdadi, and Aaron Boone. "Potential for the Detection of Irrigation Events on Maize Plots Using Sentinel-1 Soil Moisture Products." Remote Sensing 12, no. 10 (2020): 1621. http://dx.doi.org/10.3390/rs12101621.

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Although the real timing and flow rates used for crop irrigation are controlled at the scale of individual plots by the irrigator, they are not generally known by the farm upper management. This information is nevertheless essential, not only to compute the water balance of irrigated plots and to schedule irrigation, but also for the management of water resources at regional scales. The aim of the present study was to detect irrigation timing using time series of surface soil moisture (SSM) derived from Sentinel-1 radar observations. The method consisted of assessing the direction of change of

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Kothari, Kritika, Srinivasulu Ale, James P. Bordovsky, and Clyde L. Munster. "Assessing the Climate Change Impacts on Grain Sorghum Yield and Irrigation Water Use under Full and Deficit Irrigation Strategies." Transactions of the ASABE 63, no. 1 (2020): 81–94. http://dx.doi.org/10.13031/trans.13465.

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HighlightsIrrigated grain sorghum yield and irrigation water use decreased under climate change.Increase in growing season temperature beyond 26°C resulted in a sharp decline in grain sorghum yield.Irrigating during early reproductive stages resulted in the most efficient use of limited water.Irrigating to replenish soil water to 80% of field capacity was found suitable for both current and future climates. Groundwater overdraft from the Ogallala Aquifer for irrigation use and anticipated climate change impacts pose major threats to the sustainability of agriculture in the Texas High Plains (T

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Li, Dan, Delan Zhu, Ruixin Wang, Maosheng Ge, Shoujun Wu, and Yaohui Cai. "Sizing Optimization and Experimental Verification of a Hybrid Generation Water Pumping System in a Greenhouse." Mathematical Problems in Engineering 2020 (May 11, 2020): 1–11. http://dx.doi.org/10.1155/2020/3194196.

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In remote agricultural areas, electrical energy is usually deficient for pumping water into greenhouses. Photovoltaic (PV) panels and wind generators are considered suitable options for power supply. The reliability of hybrid generation water pumping depends primarily on the number of system components, which should be adapted to the local climatic conditions and crop irrigation schedule. In this study, a universal size optimization model is established to optimize the configuration of a hybrid PV-wind-battery (PWB) generation system. The climatic conditions and crop irrigation schedule are pa

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18

Byron, Morgan, Eleanor Phillips, and Jennifer Lynn Gillett-Kaufman. "Develop Your Own Florida Olive IPM Plan." EDIS 2019, no. 4 (2019): 10. http://dx.doi.org/10.32473/edis-in1251-2019.

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To remain in optimal health and produce optimal yield, olive trees need excellent nutrition, the right irrigation, and good care to help them stay healthy so that they can withstand injury from pests and diseases. This 10-page fact sheet written by Morgan Byron, Eleanor Phillips, and Jennifer L. Gillett-Kaufman and published by the UF/IFAS Entomology and Nematology Department touches on some aspects of olive tree health that will help improve your trees' natural resistance to pests and pathogens. At the end of the guide is a monthly care and observation schedule to help you recognize when you

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Cui, Yi, Shangming Jiang, Juliang Jin, Ping Feng, and Shaowei Ning. "Decision-Making of Irrigation Scheme for Soybeans in the Huaibei Plain Based on Grey Entropy Weight and Grey Relation–Projection Pursuit." Entropy 21, no. 9 (2019): 877. http://dx.doi.org/10.3390/e21090877.

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To provide a scientific reference for formulating an effective soybean irrigation schedule in the Huaibei Plain, potted water deficit experiments with nine alternative irrigation schemes during the 2015 and 2016 seasons were conducted. An irrigation scheme decision-making index system was established from the aspects of crop water consumption, crop growth process and crop water use efficiency. Moreover, a grey entropy weight method and a grey relation–projection pursuit model were proposed to calculate the weight of each decision-making index. Then, nine alternative schemes were sorted accordi

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Muñoz-Carpena, Rafael, Yuncong C. Li, Waldemar Klassen, and Michael D. Dukes. "Field Comparison of Tensiometer and Granular Matrix Sensor Automatic Drip Irrigation on Tomato." HortTechnology 15, no. 3 (2005): 584–90. http://dx.doi.org/10.21273/horttech.15.3.0584.

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A low-volume/high frequency (LVHF) soil moisture-based drip irrigation system was tested on a shallow sandy soil at a commercial tomato (Lycopersicon esculentum) farm in southern Florida. Six LVHF irrigation treatments were compared with the standard commercial practice on the farm (control), where a portable pump was used for manual drip irrigation twice each week. In the six LVHF treatments the system was continuously pressurized by means of an electrical pump and a pressure tank, and controlled by an irrigation timer set to irrigate a maximum of five times per day with the irrigation time (

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Ramos-Teodoro, Jerónimo, Adrián Giménez-Miralles, Francisco Rodríguez, and Manuel Berenguel. "A Flexible Tool for Modeling and Optimal Dispatch of Resources in Agri-Energy Hubs." Sustainability 12, no. 21 (2020): 8820. http://dx.doi.org/10.3390/su12218820.

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The dispatch of energy and resources in agricultural systems often involves the definition and resolution of optimization problems. This paper presents a novel tool composed of a set of MATLAB® and Simulink® files that has been developed to ease such tasks. In contrast to other alternatives, it allows the consideration of multiple kinds of resources in the problem and the relationships between the inputs and outputs of the system; its parametrization can be defined graphically in Simulink® without requiring third party software, and the entire package is freely available on Github. The package

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Safitri, Lisma. "Manajemen Irigasi Pembibitan Sawit (Elaeis guineensis) Presisi dengan Cropwat 8.0." Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) 8, no. 2 (2019): 97. http://dx.doi.org/10.23960/jtep-l.v8i2.97-106.

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The accurate water use information at each stage of plant growth is important to better understand the efficient and precise crop water requirement for optimal plant productivity. Nurseries of palm oil are a phase where young palm oil requires extra maintenance, particularly in meeting the plant water needs. The palm oil in the nursery phase require the regular irrigation schedule due to the vulnerable root systems. The purpose of this study was to calculate the oil palm water requirement with Cropwat 8.0 toward the precise irrigation management and provide a scenario for irrigation scheduling

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Shan, Baoying, Ping Guo, Shanshan Guo, and Zhong Li. "A Price-Forecast-Based Irrigation Scheduling Optimization Model under the Response of Fruit Quality and Price to Water." Sustainability 11, no. 7 (2019): 2124. http://dx.doi.org/10.3390/su11072124.

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Different from the traditional irrigation optimization model based only on the water production function, in this study, we explored the water–yield–quality–benefit relationship and established a general irrigation scheduling optimization framework. To establish the framework, (1) an artificial neural network coupled with ensemble empirical mode decomposition (EEMD-ANN) is used to decompose the original price time series into several subseries and then forecast each of them; (2) factor analysis and a technique for order of preference by similarity to ideal solution (FA-TOPSIS), as an integrate

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Li, Hao, Xiaozhen Yang, Hejie Chen, et al. "Water requirement characteristics and the optimal irrigation schedule for the growth, yield, and fruit quality of watermelon under plastic film mulching." Scientia Horticulturae 241 (November 2018): 74–82. http://dx.doi.org/10.1016/j.scienta.2018.06.067.

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Wu, B. M., K. V. Subbarao, A. H. C. van Bruggen, and S. T. Koike. "Comparison of Three Fungicide Spray Advisories for Lettuce Downy Mildew." Plant Disease 85, no. 8 (2001): 895–900. http://dx.doi.org/10.1094/pdis.2001.85.8.895.

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Lettuce growers in coastal California have relied mainly on protective fungicide sprays to control downy mildew. Thus, timing of sprays before infection is critical for optimal results. A leaf-wetness-driven, infection-based advisory system, previously developed, did not always perform satisfactorily. In this study, the advisory system was modified by incorporating a pathogen survival component (system 1) or both survival and sporulation components (system 2). These systems were then evaluated in commercial lettuce fields in coastal California during 1996-1998. Three or four treatments were ca

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Liu, Che, Zhiming Qi, Zhe Gu, Dongwei Gui, and Fanjiang Zeng. "Optimizing Irrigation Rates for Cotton Production in an Extremely Arid Area Using RZWQM2-Simulated Water Stress." Transactions of the ASABE 60, no. 6 (2017): 2041–52. http://dx.doi.org/10.13031/trans.12365.

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Abstract. Quantifying crop water demand and optimizing irrigation management practices are essential to water resource management in arid desert oases. Agricultural systems modeling can serve to develop a better understanding of the hydrologic cycle under various irrigation and climate conditions. RZWQM2-simulated water stress can be used as an indicator for irrigation scheduling but has not been applied to extremely arid zones. The objectives of this study were to (1) evaluate the performance of RZWQM2 in simulating soil moisture content and crop production in an extremely arid area and (2) d

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Miller, Lisa J., Sonja W. Chandler, and Cindy M. Ippoliti. "Treatment of Cyclophosphamide-Induced Hemorrhagic Cystitis with Prostaglandins." Annals of Pharmacotherapy 28, no. 5 (1994): 590–94. http://dx.doi.org/10.1177/106002809402800508.

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OBJECTIVE: To report a case of cyclophosphamide-induced hemorrhagic cystitis. discuss prevention, and review treatment options, particularly the use of intravesicular prostaglandins. DATA SOURCES: Literature obtained through a computerized search, with subsequent bibliography scanning. Information on the individual case was obtained from the patient's medical record and the Pharmacy Clinical Research Specialist. CASE SUMMARY: A 29-year-old woman who had a postallogeneic bone marrow transplantation was hospitalized because of graftversus-host disease. During hospitalization, she developed a cyc

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Soekrasno, Soekrasno. "PENYEMPURNAAN SISTEM PENGELOLAAN AIR IRIGASI MENGHADAPI IRIGASI MODERN DI INDONESIA." INDONESIAN JOURNAL OF CONSTRUCTION ENGINEERING AND SUSTAINABLE DEVELOPMENT (CESD) 1, no. 2 (2019): 67. http://dx.doi.org/10.25105/cesd.v1i2.4103.

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<span><em>Damage to irrigation areas in Indonesia covering an area of 0.37 million hectares for severe damage and </em><span><em>an area of 1.25 million hectares for moderate and mild damage, has an impact on Indonesia's ability in </em><span><em>rice production; rice imports were almost half a century, and only the adequacy of rice was 2 X, i.e. 1984 </em><span><em>and 2009. This was due to low irrigation services which resulted in less optimal carrying capacity of food </em><span><em>security. The deteriorati

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Patil, Bhimanagouda S., and Ashok K. Alva. "442 Enhancing Citrus Nutraceuticals through Variable Nutrient Rates." HortScience 34, no. 3 (1999): 520E—520. http://dx.doi.org/10.21273/hortsci.34.3.520e.

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Accumulating epidemiological evidences indicate that citrus phytochemicals have prevented chronic diseases such cancer and heart diseases. To enhance nutraceutical levels, field experiments were conducted using `Ruby Red' grapefruit on Carrizo citrange rootstock to evaluate the effects of variable fertilizer rates on nutraceutical contents. The trees received annual nitrogen rates from 0 to 280 kg·ha-1 (using a 1 N: 0.25 P: 1 K blend) under optimal irrigation schedule. Subsamples of fruit were analyzed for nutraceutical levels. HPLC analysis showed that naringin concentrations of the fruit col

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Hidayat, Asep Kurnia, R. Reza El Akbar, and Ai Sri Kosnayani. "Initial dynamic system design for optimization of gravity irrigation water management (open gravitation irrigation)." APTIKOM Journal on Computer Science and Information Technologies 4, no. 2 (2020): 74–80. http://dx.doi.org/10.34306/csit.v4i2.94.

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an expression of conflict in the field. To overcome this problem is a regulation of several parameters,including regulation of planting schedules and reduction of land area. The model of the irrigation water managementsystem used is based on the risk of land failure and the optimum area of land that can be planted. The parameters usedto overcome this problem are planting schedules, risk of land failure and factor k. The k factor is the ratio of wateravailability to water needs. The output of this system is optimal net benefit based on the optimal alternative irrigatedland area. The results of

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Shock, Clinton C., Erik B. G. Feibert, and Lamont D. Saunders. "Onion Response to Drip Irrigation Intensity and Emitter Flow Rate." HortTechnology 15, no. 3 (2005): 652–59. http://dx.doi.org/10.21273/horttech.15.3.0652.

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Although an irrigation onset criterion for drip-irrigated onion (Allium cepa) has been determined, the optimal irrigation intensity has not been examined. Some authors have argued that very high irrigation frequencies with low amounts of water are needed to maximize crop responses. Long-day, sweet Spanish onions were grown on 44-inch beds with two double rows spaced 1.8 ft apart and a drip tape buried 4 inches deep in the bed center. Onions were submitted to eight treatments as a combination of four irrigation intensities (1/16, 1/8, 1/4, and 1/2 inch of water per irrigation) and two drip tape

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Tilahun, Ketema, and D. Raes. "Sensitivity analysis of optimal irrigation scheduling using a dynamic programming model." Australian Journal of Agricultural Research 53, no. 3 (2002): 339. http://dx.doi.org/10.1071/ar00143.

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The problem of designing farm irrigation systems is complicated by the fact that the return from a project is a function not only of the design variables, but also of the operation schedules. These operation decisions are not independent, as irrigation applications at any given time period affect the entire set of applications to be made in the future. An optimisation dynamic programming model, CSUDP, was used to analyse the effects of irrigation levels, yield response factors, and initial soil moisture on irrigation scheduling. The CSUDP model requires the following as input data: crop evapot

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Schütze, N., M. de Paly, and U. Shamir. "Novel simulation-based algorithms for optimal open-loop and closed-loop scheduling of deficit irrigation systems." Journal of Hydroinformatics 14, no. 1 (2011): 136–51. http://dx.doi.org/10.2166/hydro.2011.073.

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The scarcity of water compared with the abundance of land constitutes the main drawback within agricultural production. Besides the improvement of irrigation techniques a task of primary importance is solving the problem of intra-seasonal irrigation scheduling under limited seasonal water supply. An efficient scheduling algorithm has to take into account the crops' response to water stress at different stages throughout the growing season. Furthermore, for large-scale planning tools compact presentations of the relationship between irrigation practices and grain yield, such as crop water produ

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Liu, Ye, Ting Yang, Rong-Heng Zhao, Yi-Bo Li, Wen-Ju Zhao, and Xiao-Yi Ma. "Irrigation Canal System Delivery Scheduling Based on a Particle Swarm Optimization Algorithm." Water 10, no. 9 (2018): 1281. http://dx.doi.org/10.3390/w10091281.

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Reasonable planning of water delivery schedules for canal systems can reduce losses caused by water seepage and improve the utilization efficiency of irrigation water. Empirical methods of water delivery scheduling for canal systems usually cause problems such as insufficient discharge, excessively delayed water delivery, and large losses under given water requirements. In this study, a canal water delivery scheduling model was set up, and a customized algorithm based on particle swarm optimization was proposed. Typical heuristic algorithms often become trapped in local optima and often search

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Baltathakis, Ioannis, Michael Michael, Eirini Grispou, et al. "Weekly High-Dose Cidofovir Is an Effective Treatment for Symptomatic BK Virus (BKV)-Associated Hemorrhagic Cystitis (HC) after Allogeneic Stem Cell Transplantation (Allo-SCT)." Blood 108, no. 11 (2006): 5306. http://dx.doi.org/10.1182/blood.v108.11.5306.5306.

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Abstract A proportion of cases of HC after allo-SCT are associated with infection from BKV. Supportive treatment is not sufficient for the relief of symptoms in many patients with BKV-associated HC. Cidofovir is an antiviral agent active against BKV. Its use is limited, however, due to the reported risk of renal failure in patients with cytomegalovirus (CMV) infection. The experience with cidofovir in BKV-associated HC is anecdotal, and the optimal dose schedule of the drug has not been determined. We administered weekly high-dose cidofovir in 5 patients for the treatment of 6 episodes of symp

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Miron, Simona Adina, Aurora Alexandrescu, and Mihail Luca. "Optimal Pump Scheduling to Reduce the Operating Costs." Applied Mechanics and Materials 371 (August 2013): 677–81. http://dx.doi.org/10.4028/www.scientific.net/amm.371.677.

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The pumps are mechanical structures indispensable in numerous socio-economic areas like: villages water supply, irrigations, oil industry, sewage movement, chemical movement, flood control and for the production of various goods. Pumps must supply the energy necessary to lift liquids from a lower elevation to a greater one. Pumps operation and maintenance generates significant costs. One of the most efficient methods to reduce the pump operating costs is by scheduling the pump operations. This can impose pumps to operate during periods in which the electrical tariff is cheaper and combining th

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Belaqziz, Salwa, Saïd Khabba, Mohamed Hakim Kharrou, El Houssaine Bouras, Salah Er-Raki, and Abdelghani Chehbouni. "Optimizing the Sowing Date to Improve Water Management and Wheat Yield in a Large Irrigation Scheme, through a Remote Sensing and an Evolution Strategy-Based Approach." Remote Sensing 13, no. 18 (2021): 3789. http://dx.doi.org/10.3390/rs13183789.

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This study aims to investigate the effects of an optimized sowing calendar for wheat over a surface irrigation scheme in the semi-arid region of Haouz (Morocco) on irrigation water requirements, crop growth and development and on yield. For that, a scenario-based simulation approach based on the covariance matrix adaptation–evolution strategy (CMA-ES) was proposed to optimize both the spatiotemporal distribution of sowing dates and the irrigation schedules, and then evaluate wheat crop using the 2011–2012 growing season dataset. Six sowing scenarios were simulated and compared to identify the

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Zhang, Guoqiang, Bo Ming, Dongping Shen, et al. "Optimizing Grain Yield and Water Use Efficiency Based on the Relationship between Leaf Area Index and Evapotranspiration." Agriculture 11, no. 4 (2021): 313. http://dx.doi.org/10.3390/agriculture11040313.

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Achieving optimal balance between maize yield and water use efficiency is an important challenge for irrigation maize production in arid areas. In this study, we conducted an experiment in Xinjiang China in 2016 and 2017 to quantify the response of maize yield and water use to plant density and irrigation schedules. The treatments included four irrigation levels: 360 (W1), 480 (W2), 600 (W3), and 720 mm (W4), and five plant densities: 7.5 (D1), 9.0 (D2), 10.5 (D3), 12.0 (D4), and 13.5 plants m−2 (D5). The results showed that increasing the plant density and the irrigation level could both sign

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Harris, Thomas R., and Harry P. Mapp. "Use of optimal control in deriving water conserving irrigation schedules based on state events." Computers and Electronics in Agriculture 2, no. 4 (1988): 301–16. http://dx.doi.org/10.1016/0168-1699(88)90004-x.

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Math, RajinderKumar Mallayya, and Nagaraj V. Dharwadkar. "An Intelligent Irrigation Scheduling and Monitoring System for Precision Agriculture Application." International Journal of Agricultural and Environmental Information Systems 11, no. 4 (2020): 1–24. http://dx.doi.org/10.4018/ijaeis.2020100101.

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In spite of technological advancements, the farm productivity of Indian agriculture is still on the lower side. The underlying reason for poor farm productivity in India is due to the inefficient usage of agricultural inputs, resulting in low or poor-quality agricultural yields. Water happens to be one of such imperative agricultural input that has a huge impact on agricultural productivity. Precision agriculture systems can take care of irrigation requirements by optimally and efficiently using irrigation water for producing crops having superior quality and quantity. This work proposes a sma

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DERIB, SISAY DEMEKU, KATRIEN DESCHEEMAEKER, AMARE HAILESLASSIE, and TILAHUN AMEDE. "IRRIGATION WATER PRODUCTIVITY AS AFFECTED BY WATER MANAGEMENT IN A SMALL-SCALE IRRIGATION SCHEME IN THE BLUE NILE BASIN, ETHIOPIA." Experimental Agriculture 47, S1 (2011): 39–55. http://dx.doi.org/10.1017/s0014479710000839.

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SUMMARYIn Ethiopia, irrigation is mainly implemented in small-scale irrigation schemes, which are often characterized by low water productivity. This study reports on the efficiency and productivity of a typical small-scale irrigation scheme in the highlands of the Blue Nile, Ethiopia. Canal water flows and the volume of irrigation water applied were measured at field level. Grain and crop residue biomass and grass biomass production along the canals were also measured. To triangulate the measurements, the irrigation farm management, effects of water logging around irrigation canals, farm wate

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Yang, Honglan, Tohir A. Bozorov, Xiaoping Chen, et al. "Yield Comparisons between Cotton Variety Xin Nong Mian 1 and Its Transgenic ScALDH21 Lines under Different Water Deficiencies in a Desert-Oasis Ecotone." Agronomy 11, no. 5 (2021): 1019. http://dx.doi.org/10.3390/agronomy11051019.

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Water scarcity is the major limiting factor for oasis-desert agricultural production of cotton. It is necessary to improve cotton for drought tolerance and minimize drought-related crop losses, and the transgenic approach is efficient for cotton improvement. In order to evaluate the value of ScALDH21 transgenic cotton (G. hirsutum L.), it was tested in the main cotton region of south Xinjiang, in an environment of extreme drought around the desert. Transgenic cotton, overexpressing aldehyde dehydrogenase gene (ScALDH21) from the desiccation-tolerant moss Syntrichia caninervis in cotton variety

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Ghimire, Monika, Art Stoecker, Tracy A. Boyer, Hiren Bhavsar, and Jeffrey Vitale. "An Integration of GIS and Simulation Models for a Cost Benefit Analysis of Irrigation Development." Sustainable Agriculture Research 5, no. 4 (2016): 58. http://dx.doi.org/10.5539/sar.v5n4p58.

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<p class="sar-body"><span lang="EN-US">This study incorporates spatially explicit geographic information system and simulation models to develop an optimal irrigation system. The purpose of the optimized irrigation system was to save depleted ground water supplies. ArcGIS was used to calculate the area of potential irrigable soils, and EPANET (a hydrological simulation program) was used to calculate energy costs. Crop yield response functions were used to estimate the yield of cotton to the amount of irrigation and the accumulation of soil salinity over a 50-year period. Four irrig

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Alva, A. K., and A. Fares. "Soil Water Measurement as Basis to Optimize Irrigation Scheduling: A Review." HortScience 33, no. 3 (1998): 553f—554. http://dx.doi.org/10.21273/hortsci.33.3.553f.

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Supplemental irrigation is often necessary for high economic returns for most cropping conditions even in humid areas. As irrigation costs continue to increase more efforts should be exerted to minimize these costs. Real time estimation and/or measurement of available soil water content in the crop root zone is one of the several methods used to help growers in making the right decision regarding timing and quantity of irrigation. The gravimetric method of soil water content determination is laborious and doesn't suite for frequent sampling from the same location because it requires destructiv

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Pushpalatha, Raji, Sunitha Sarojini Amma, James George, Shiny Rajan, and Byju Gangadharan. "Development of optimal irrigation schedules and crop water production function for cassava: study over three major growing areas in India." Irrigation Science 38, no. 3 (2020): 251–61. http://dx.doi.org/10.1007/s00271-020-00669-0.

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Daliakopoulos, Ioannis Ν., Dimitrios Papadimitriou, Theofilos Matsoukas, et al. "Development and Preliminary Results from the Testbed Infrastructure of the DRIP Project." Proceedings 30, no. 1 (2020): 64. http://dx.doi.org/10.3390/proceedings2019030064.

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Striving to tackle a common water resource scarcity problem, the Drip Irrigation Precise (DRIP) Project aims to develop a state-of-the-art integrated system that will optimize tree crop irrigation (Petousi et al. 2018). To this end, we have developed 5 free lysimeters measuring 3 m in height and 3 m in diameter, each with a total effective volume of ca. 20 m3. Lysimeters were planted with 5 10-year-old olive trees, including their root ball to a depth of 1 m, monolithically transplanted from the experimental olive orchard of the Hellenic Mediterranean University, Greece. The remaining volume w

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Qureshi, Asad S., M. N. Asghar, S. Ahmad, and I. Masih. "Sustaining crop production in saline groundwater areas: A case study from Pakistani Punjab." Australian Journal of Agricultural Research 55, no. 4 (2004): 421. http://dx.doi.org/10.1071/ar03205.

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In the Indus Basin of Pakistan, multi-strainer shallow tubewells often called 'skimming wells' are used to extract groundwater from thin fresh lenses underlain by saline groundwater. Most of these wells face problems such as deteriorating water quality and reduction in discharge due to inadequate design and poor operational and management strategies. This paper evaluates the current practices of farmers in the Chaj doab area of Pakistani Punjab and suggests improvements in design and operation of skimming wells to ensure long-term sustainability of irrigated agriculture in the area. The effect

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Tang, Jiandong, Wenting Han, and Liyuan Zhang. "UAV Multispectral Imagery Combined with the FAO-56 Dual Approach for Maize Evapotranspiration Mapping in the North China Plain." Remote Sensing 11, no. 21 (2019): 2519. http://dx.doi.org/10.3390/rs11212519.

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As the key principle of precision farming, variation of actual crop evapotranspiration (ET) within the field serves as the basis for crop management. Although the estimation of evapotranspiration has achieved great progress through the combination of different remote sensing data and the FAO-56 crop coefficient (Kc) method, lack of the accurate crop water stress coefficient (Ks) at different space–time scales still hinder its operational application to farmer practices. This work aims to explore the potential of multispectral images taken from unmanned aerial vehicles (UAVs) for estimating the

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Gajanayake, Bandara, K. Raja Reddy, Mark W. Shankle, and Ramon A. Arancibia. "Early-season Soil Moisture Deficit Reduces Sweetpotato Storage Root Initiation and Development." HortScience 48, no. 12 (2013): 1457–62. http://dx.doi.org/10.21273/hortsci.48.12.1457.

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Sweetpotato [Ipomoea batatas (L.) Lam.] storage root formation is a complex developmental process. Little quantitative information is available on storage root initiation in response to a wide range of soil moisture levels. This study aimed to quantify the effects of different levels of soil moisture on sweetpotato storage root initiation and to develop functional relationships for crop modeling. Five levels of soil moisture, 0.256, 0.216, 0.164, 0.107, and 0.058 m3·m−3 soil, were maintained using sensor-based soil moisture monitoring and semiautomated programmed irrigation. Two commercial swe

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Nie, Yan, Ying Tan, Yuqin Deng, and Jing Yu. "Suitability Evaluation of Typical Drought Index in Soil Moisture Retrieval and Monitoring Based on Optical Images." Remote Sensing 12, no. 16 (2020): 2587. http://dx.doi.org/10.3390/rs12162587.

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As a basic agricultural parameter in the formation, transformation, and consumption of surface water resources, soil moisture has a very important influence on the vegetation growth, agricultural production, and healthy operation of regional ecosystems. The Aksu river basin is a typical semi-arid agricultural area which seasonally suffers from water shortage. Due to the lack of knowledge on soil moisture change, the water management and decision-making processes have been a difficult issue for local government. Therefore, soil moisture monitoring by remote sensing became a reasonable way to sc

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