Relevant bibliographies by topics / Smart irrigation controllers

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Smart irrigation controllers'

Author: Grafiati
Published: 4 June 2021
Last updated: 15 February 2022

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Journal articles on the topic "Smart irrigation controllers"

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Dukes, Michael D. "Two Decades of Smart Irrigation Controllers in U.S. Landscape Irrigation." Transactions of the ASABE 63, no. 5 (2020): 1593–601. http://dx.doi.org/10.13031/trans.13930.

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HighlightsSavings numbers in new studies across multiple soil types and climates are similar to those summarized in 2011 and are summarized here as 51% in research plot studies and 30% in single-family homes.Studies of the human factors have begun showing how important the users are to success of the technology.Education in implementation remains important to achieve potential water conservation.Abstract. Smart irrigation controllers, such as evapotranspiration (ET) and soil moisture sensor (SMS) controllers, have become commonly available from virtually all irrigation controller manufacturers
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Al-Ghobari, Hussein M., Fawzi S. Mohammad, and Mohamed S. A. El Marazky. "Evaluating two irrigation controllers under subsurface drip irrigated tomato crop." Spanish Journal of Agricultural Research 14, no. 4 (2016): e1206. http://dx.doi.org/10.5424/sjar/2016144-8615.

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Smart systems could be used to improve irrigation scheduling and save water under Saudi Arabia’s present water crisis scenario. This study investigated two types of evapotranspiration-based smart irrigation controllers, SmartLine and Hunter Pro-C2, as promising tools for scheduling irrigation and quantifying plants’ water requirements to achieve water savings. The effectiveness of these technologies in reducing the amount of irrigation water was compared with the conventional irrigation scheduling method as a control treatment. The two smart irrigation sensors were used for subsurface irrigati
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Morera, Maria C., Paul F. Monaghan, Michael D. Dukes, Ondine Wells, and Stacia L. Davis. "Evaluating Florida Homeowner Response to Smart Irrigation Controllers." HortTechnology 25, no. 4 (2015): 511–21. http://dx.doi.org/10.21273/horttech.25.4.511.

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Smart irrigation controllers are capable of substantially decreasing landscape water applications under residential high water-use conditions in Florida. Their implementation has been incentivized by governmental agencies and water utilities in an effort to reduce public-supply water demand and conserve water resources. However, the bulk of the research on smart controllers for urban landscapes has focused on performance dimensions. To successfully promote them, feedback from end-users is critical. This paper provides an evaluation of homeowner response to evapotranspiration (ET)-based and soi
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Zhang, Xumin, and Hayk Khachatryan. "Investigating Homeowners’ Preferences for Smart Irrigation Technology Features." Water 11, no. 10 (2019): 1996. http://dx.doi.org/10.3390/w11101996.

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Smart irrigation systems are relatively new technologies that optimize irrigation schedules in residential landscapes, thus leading to reduced irrigation water use and potential contamination. To promote the use of such technologies, the landscape services industry has introduced innovative features such as the integration of local weather data into irrigation controller systems or mobile phone control and alert notifications that help to facilitate usability and prevent over-irrigation. Very few studies have addressed homeowners’ preferences for outdoor irrigation technologies. This study inv
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Davis, S. L., and M. D. Dukes. "Methodologies for Successful Implementation of Smart Irrigation Controllers." Journal of Irrigation and Drainage Engineering 141, no. 3 (2015): 04014055. http://dx.doi.org/10.1061/(asce)ir.1943-4774.0000804.

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M. D. Dukes. "Water Conservation Potential of Landscape Irrigation Smart Controllers." Transactions of the ASABE 55, no. 2 (2012): 563–69. http://dx.doi.org/10.13031/2013.41391.

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Conger, Stacia L. D., and Michael D. Dukes. "Evaluation of Testing Procedures for Weather-Based Irrigation Controllers." Transactions of the ASABE 63, no. 5 (2020): 1277–87. http://dx.doi.org/10.13031/trans.13926.

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HighlightsThe SWAT test was deficient in terms of independent reproducibility.Performance results increased for the virtual test but decreased when testing irrigation schedules from an actual landscape by switching to an hourly version of the daily soil water balance.There was lack of transferability in performance results as evidenced by the dichotomous model outcomes.Abstract. Weather-based irrigation controllers (WBICs) are modern technologies designed to schedule irrigation applications with automatic in-ground irrigation systems based on plant water requirements. The Irrigation Associatio
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Al-Ghobari, H. M., F. S. Mohammad, and M. S. A. El Marazky. "Assessment of smart irrigation controllers under subsurface and drip-irrigation systems for tomato yield in arid regions." Crop and Pasture Science 66, no. 10 (2015): 1086. http://dx.doi.org/10.1071/cp15065.

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Here, two types of smart irrigation controllers intended to reduce irrigation water are investigated under Saudi Arabia’s present water crisis scenario. These controllers are specially made for scheduling irrigation and management of landscaping. Consequently, the aim of this study is to adapt the efficient automated controllers to tomato crops, and for extension to other similar agricultural crops. The controllers are based on evapotranspiration and have been shown to be promising tools for scheduling irrigation and quantifying the water required by plants to achieve water savings. In particu
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Shober, Amy L., Stacia Davis, Michael D. Dukes, Geoffrey C. Denny, Sydney Park Brown, and Sudeep Vyapari. "Performance of Florida Landscape Plants When Irrigated by ET-Based Controllers and Time-Based Methods." Journal of Environmental Horticulture 27, no. 4 (2009): 251–56. http://dx.doi.org/10.24266/0738-2898-27.4.251.

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Abstract The combination of inefficient irrigation of residential and commercial landscapes and prolonged drought conditions has overextended the water supply in many areas of Florida. New irrigation technologies including smart irrigation controllers have been shown to decrease outdoor water use. The objective of this study was to evaluate the effects of evapotranspiration (ET) controlled and time-based irrigation treatments on the growth and quality of three ornamental plant species grown in landscape settings in Florida. Plumbago auriculata, Lagerstroemia ‘Natchez’, and Liriope muscari ‘Big
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Cardenas, Bernardo, Kati W. Migliaccio, Michael D. Dukes, Ian Hahus, and Jason K. Kruse. "Irrigation Savings from Smart Irrigation Technologies and a Smartphone App on Turfgrass." Transactions of the ASABE 63, no. 6 (2020): 1697–709. http://dx.doi.org/10.13031/trans.13903.

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HighlightsAll tested smart irrigation technologies regulated irrigation based on real-time soil moisture and weather conditions.Treatments based on SMS, ET, or smartphone app applied less water than the comparison treatment by 51% to 63%, 28% to 66%, and 51% to 63%, respectively.The payback period for the different technologies ranged between 0 and 12 months.Abstract. A plot study comparing a variety of irrigation scheduling technologies was conducted in Gainesville, Florida, from 2015 to 2017. Our study objectives were to: (1) compare the ability of different irrigation scheduling technologie
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Dissertations / Theses on the topic "Smart irrigation controllers"

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"Moving Towards Sustainable and Resilient Smart Water Grids: Networked Sensing and Control Devices in the Urban Water System." Master's thesis, 2012. http://hdl.handle.net/2286/R.I.15928.

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abstract: Urban water systems face sustainability challenges ranging from water quality, leaks, over-use, energy consumption, and long-term supply concerns. Resiliency challenges include the capacity to respond to drought, managing pipe deterioration, responding to natural disasters, and preventing terrorism. One strategy to enhance sustainability and resiliency is the development and adoption of smart water grids. A smart water grid incorporates networked monitoring and control devices into its structure, which provides diverse, real-time information about the system, as well as enhanced cont
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Book chapters on the topic "Smart irrigation controllers"

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Azar, Ahmad Taher, Hossam Hassan Ammar, Gabriel de Brito Silva, and Mohd Saiful Akmal Bin Razali. "Optimal Proportional Integral Derivative (PID) Controller Design for Smart Irrigation Mobile Robot with Soil Moisture Sensor." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-14118-9_35.

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G, Bhavani, and Malathi S. "Automated Smart Irrigation System Based on IoT." In Intelligent Systems and Computer Technology. IOS Press, 2020. http://dx.doi.org/10.3233/apc200212.

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India is an agricultural country with variety of crops. Water flow to the crop field is found important with accurate level. Multiple crops can be grown in single field with accurate water level. Water level need to be controlled due to water scarcity. Exact amount of water can be made to flow in the field through IoT techniques. Inorder to bring efficient crop growth and to avoid excess water flow, automation in agriculture can be done. Automation in agriculture can reduce excess water usage in water scarce and dry area. Automation is done with sensors and various IoT techniques to improve water level in agricultural field.
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K. M., Karthick Raghunath, and Anantha Raman G. R. "Neuro-Fuzzy-Based Smart Irrigation System and Multimodal Image Analysis in Static-Clustered Wireless Sensor Network for Marigold Crops." In Deep Neural Networks for Multimodal Imaging and Biomedical Applications. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-3591-2.ch015.

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As a decorative flower, marigolds have become one of the most attractive flowers, especially on the social and religious arena. Thus, this chapter reveals the potential positive resultants in the production of marigold through neuro-fuzzy-based smart irrigation technique in the static-clustered wireless sensor network. The entire system is sectionalized into clustering phase and operational phase. The clustering phase comprises three modules whereas the operational phase also includes three primary modules. The neuro-fuzzy term refers to a system that characterizes the structure of a fuzzy controller where the fuzzy sets and rules are adjusted using neural networks iteratively tuning techniques with input and output system data. The neuro-fuzzy system includes two distinct way of behavior. The vital concern of the system is to prevent unnecessary or unwarranted irrigation. Finally, on the utilization of multimodal image analysis and neuro-fuzzy methods, it is observed that the system reduces the overall utilization of water (~32-34%).
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Hasnain Tariq, Ghulam, Muhammad Ashraf, and Umar Sohaib Hasnain. "Solar Technology in Agriculture." In Technology in Agriculture [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.98266.

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Promotion of sustainable agriculture is one of the most priority development goal set by United Nations for achieving the food security to meet the ever-increasing global population food demand. Because of extreme importance of agriculture sector, significant technological developments have been made that played pivotal role for sustainable agriculture by value addition in agricultural products and meeting energy demands for machinery and irrigation. These developments include improved cultivation practices, processing units for agricultural products and operation of machinery and irrigation systems based on solar energy. Moreover, the emergence of new technologies and climate smart solutions with reduced carbon footprints have significantly addressed the ever-increasing fuel costs and changing climate needs. PV based solar irrigation pumps and agricultural machinery is typical example of this. Because, awareness of these technological development is essential to overcome energy issues, availability of energy to perform agricultural activities for sustainable agriculture at farm level and socioeconomic uplift of farming community to meet food requirements needs in the future. Therefore, this chapter attempts at providing the introduction of technologies for direct and indirect use of solar energy in the agriculture sector. The typical examples of direct use of solar energy like greenhouses or tunnel farming for cultivation of crops and vegetables and use of solar dryers for drying agricultural products have been comprehensively discussed. Similarly, the solar powered tubewells, tractors, and lights, etc. are few important examples of indirect use of solar energy and have also been discussed in this chapter. The indirect use is made possible by converting solar energy into electrical energy with the help of photovoltaic devices, called “solar cells”. Also radio frequency (RF)-controlled seed sowing and spreading machines are discussed, which provide an eco-friendly method. Moreover, comprehensive discussion is made on solar based technologies in general as well regional context in view of their potential to scale-up and to address anticipated issues. The use of photovoltaics in agriculture is expected to be significant contribution in the near future that require urgent planning for the potential benefits and efficient use at the farm level. Therefore, the co-existence of “agrovoltaics” will be essential for the developments of agriculture and agroindustry.
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Conference papers on the topic "Smart irrigation controllers"

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Edward M Norum and Diganta Adhikari. "SMART Irrigation System Controllers." In 7th World Congress on Computers in Agriculture Conference Proceedings, 22-24 June 2009, Reno, Nevada. American Society of Agricultural and Biological Engineers, 2009. http://dx.doi.org/10.13031/2013.29041.

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Michael D Dukes. "Water Conservation Potential of Smart Irrigation Controllers." In 5th National Decennial Irrigation Conference Proceedings, 5-8 December 2010, Phoenix Convention Center, Phoenix, Arizona USA. American Society of Agricultural and Biological Engineers, 2010. http://dx.doi.org/10.13031/2013.35888.

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Parmenter, Jason, Alex N. Jensen, and Steve Chiu. "Smart irrigation controller." In 2014 IEEE International Conference on Electro/Information Technology (EIT). IEEE, 2014. http://dx.doi.org/10.1109/eit.2014.6871796.

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"Six Years of Smart Controller Performance in Texas." In 2015 ASABE / IA Irrigation Symposium: Emerging Technologies for Sustainable Irrigation - A Tribute to the Career of Terry Howell, Sr. Conference Proceedings. American Society of Agricultural and Biological Engineers, 2015. http://dx.doi.org/10.13031/irrig.20152143305.

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Gorai, Sanchita, Alekh Kumar, and Anirban Kundu. "DeMux Controlled Sensor Based Smart Irrigation System." In 2020 IEEE International Conference for Convergence in Engineering (ICCE). IEEE, 2020. http://dx.doi.org/10.1109/icce50343.2020.9290626.

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Alomar, Ban, and Azmi Alazzam. "A Smart Irrigation System Using IoT and Fuzzy Logic Controller." In 2018 Fifth HCT Information Technology Trends (ITT). IEEE, 2018. http://dx.doi.org/10.1109/ctit.2018.8649531.

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Faisal, Rahat Hossain, Chandrika Saha, Md Hasibul Hasan, and Palash Kumar Kundu. "Power Efficient Distant Controlled Smart Irrigation System for AMAN and BORO Rice." In 2018 21st International Conference of Computer and Information Technology (ICCIT). IEEE, 2018. http://dx.doi.org/10.1109/iccitechn.2018.8631927.

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