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81 articles for “irrigation water”
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Review ArticleOpen accessIn the abstractSmart Agriculture: The Future of Agriculture using AI and IoTSapna Katiyar, Artika FarhanaAgriculture sector contributing a significant share in World economy and in more than nine counties agronomy is the leading segment. Population is rising immensely therefore quality and quantity of food demand increases enormously. Agriculture segment is providing employment prospects to large population as well. Conventional farming styles used by farmers are not competent to fulfil the enlarged demand. To meet … …Journal of Computer Science, Vol. 17, Issue 10 · 8 Nov 2021 · 10,410 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Investigation on the Systems of Collecting and Extracting Greywater from Surface Water and WastewaterSaeid Eslamian, Mohammad Abdolhoseini, Kaveh Ostad-Ali-Askari, Vijay P. SinghLack of water resources, on the one hand and degradation of the quality of available resources; on the other hand, raise serious concerns about water supply. Limited water resources in some areas necessitate planning for use of unconventional resources, such as: Unconventional and recyclable water resources, which should be used optimally. Therefore, there is an increasing need for use of … …American Journal of Engineering and Applied Sciences, Vol. 14, Issue 2 · 7 Jun 2021 · 6,447 accessesView PDFCite
Research ArticleOpen accessIn the abstractIrrigation System Using Hyperspectral Data and Machnie Learning Techniques for Smart AgricultureSanthi Balachandran, Sourna Lakshmi, Nithya RajendranWater is the main resource for agriculture. Management of water in agricultural field is a challenging process. To manage the water content in the agricultural field, smart irrigation system has been proposed by using fuzzy based decision support system on Hyperspectral Image benchmark dataset. Hyperspectral images are the process of collected and processed the images from electromagnetic spectrum. Recent studies … …Journal of Computer Science, Vol. 16, Issue 4 · 15 Apr 2020 · 7,691 accessesView PDFCite
Research ArticleOpen accessIn the abstractIoT Framework for Smart Irrigation using Machine Learning TechniqueS. Ramya, A.M. Swetha, Manivannan DoraipandianThe scarcity of freshwater around the world is becoming a serious issue, so there is a dire need to come up with a solution for effective utilization of water resources. Basically, agriculture depends on monsoon which is not a sufficient water source. The Internet of Things (IoT) and Machine Learning (ML) based smart irrigation system is employed in the field … …Journal of Computer Science, Vol. 16, Issue 3 · 26 Mar 2020 · 9,661 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvaluation of Treated Wastewater in Terms of Environmental StandardsSona Pazdar, Saeid Eslamian, Hossein Gholami, Kaveh Ostad-Ali-AskariThe desired use of refined wastewater has not yet found its proper place in many countries, therefore, achieving a relative equilibrium in the field of urban wastewater evacuation and re-utilizing it is a fundamental principle. And this great matter is not possible except by developing a comprehensive refinery waste management system. The set of measures that have been taken so … …American Journal of Engineering and Applied Sciences, Vol. 12, Issue 4 · 27 Sep 2019 · 7,914 accessesView PDFCite
Research ArticleOpen accessIn the abstractRemoval of Coliform Content in Sewage Treatment Plant Using a Sand Filtration System with Potassium Permanganate PowderSona Pazdar, Saeid Eslamian, Seyedeh Zahra Hosseini-Teshnizi et al.Reuse of refined sewage with two goals of providing more water and protecting the environment from pollution is one of the solutions to water supply problems and one of the potential sources for irrigation in agriculture. The aim of this study is to evaluate the possibility of effluent disinfection using a sand filtration system to reduce microbial contamination with potassium … …American Journal of Engineering and Applied Sciences, Vol. 12, Issue 2 · 27 Jun 2019 · 7,586 accessesView PDFCite
Research ArticleOpen accessIn the abstractGeochemistry of Siloam and Tshipise Geothermal Springs, Limpopo Province, South AfricaOlatunde Samod Durowoju, John Ogony Odiyo, Georges-Ivo Ekosse EkosseGeothermal springs are natural geological phenomena that occur throughout the world, and South Africa (SA) is endowed with several springs of this nature. Most of the geothermal springs in SA (31%) are found in Limpopo Province. Assessment of geochemistry of Siloam and Tshipise geothermal springs were undertaken during 2014 winter (May – July) and summer (October – December) seasons. Water … …American Journal of Environmental Sciences, Vol. 14, Issue 2 · 30 Mar 2018 · 8,538 accessesView PDFCite
Research ArticleOpen accessIn the abstractAssessment of Aliphatic Hydrocarbons in Sediments of Shatt Al-Arab River, Southern Iraq, North East Arabian GulfWisam Abdul-Ameer FaridShatt Al-Arab River is one of the important rivers for water supply, industry and irrigation in Basrah City, south of Iraq. It's also supply drinking water to users in the region. Despite the significance of this river, there is a lack of previous studies dealing with petroleum pollution especially for geochemical studies of organic matter in the river sediments using … …American Journal of Environmental Sciences, Vol. 13, Issue 6 · 29 Jan 2018 · 7,460 accessesView PDFCite
InvestigationOpen accessIn the abstractChanges in the Composition and Properties of Meadow Solonchaks of the Ili Alatau Foothill Plain in the Republic of Kazakhstan during a Long Postmeliorative PeriodZhainagul Yertayeva, Saginbay Kaldybaev, Aigul Kaiyrbekovna BeketovaThe optimal depth of the groundwater table and the water-salt regime is of importance in the postmeliorative period. The scope of these studies is to provide scientifically grounded assessment of previously reclaimed soils (water irrigation with a total norm of 5000 m3/ha under conditions of deep horizontal drainage, 1986-1989) in the postmeliorative period of 2015-2016 and to develop parameters for … …OnLine Journal of Biological Sciences, Vol. 17, Issue 4 · 14 Oct 2017 · 7,268 accessesView PDFCite
Case ReportOpen accessIn the abstractEvaluation of Seasonal Autoregressive Integrated Moving Average Models for River Flow ForecastingKassahun Birhanu Tadesse, Megersa Olumana Dinka, Tena Alamirew, Semu Ayalew MogesReservoir operation policies cannot be functional in instant decision making without forecasting the future reservoir inflows. For forecasting inflows into reservoirs with only hydrological data is available like Koga irrigation dam, multivariate forecasting models cannot be used to generate accurate river flow information. As a result, an evaluation of univariate Seasonal Autoregressive Integrated Moving Average (SARIMA) models was done for … …American Journal of Environmental Sciences, Vol. 13, Issue 5 · 28 Sep 2017 · 7,891 accessesView PDFCite