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Journal ArticleDOI

Intelligent Irrigation Control System by Employing Wireless Sensor Networks

18 Oct 2013-International Journal of Computer Applications (Foundation of Computer Science (FCS))-Vol. 79, Iss: 11, pp 33-40
TL;DR: The fuzzy controller designed in this paper efficiently monitors moisture level in soil, leaf wetness, temperature, humidity, and other essential parameters and also controls the irrigation intelligently and becomes a cost effective system for the expected yield.
Abstract: growing technology of wireless sensor networks (WSN) is an advantage to the agriculture sector. Modern advances in the development of WSN offer new trends like Precision Agriculture (PA). This paper presents Fuzzy Logic Based Intelligent Irrigation Control System by employing WSN for PA. In the proposed system the irrigation controller normalizes the desired moisture level in the agricultural soil by controlling the water flow of the irrigation pump based on the sensor readings, by switching the pump between ON and OFF states. For the efficient utilization of water in the agricultural irrigation, the proposed methodology offers a system equipped with soil moisture sensors, temperature sensors, precise irrigation equipments, computer-controlled devices, and an intelligent controller using fuzzy logic approach for irrigation of agricultural fields, which simulates or emulates the human being's intelligence. This leads to effective utilization of various resources like water and electricity and hence becomes a cost effective system for the expected yield. The fuzzy controller designed in this paper efficiently monitors moisture level in soil, leaf wetness, temperature, humidity, and other essential parameters and also controls the irrigation intelligently. The results show that the application is correct and reasonable and enables user to precisely acquire the crop water requirement information. The system can be effectively applied to PA applications such as water-saving agriculture areas, for example, the croplands, the nursery gardens and the greenhouses.

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Citations
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Journal ArticleDOI
TL;DR: In this review, a thorough search for literature on irrigation monitoring and advanced control systems highlighting the research works within the past ten years are presented and attention is paid on recent research works related to the monitoring and advance control concepts for precision irrigation.

118 citations

Journal ArticleDOI
02 Aug 2017-Sensors
TL;DR: This study designs a system that is capable of collecting heterogeneous information from its environment, using sensors for temperature, solar radiation, humidity, pH, moisture and wind, and uses the PANGEA architecture to overcome this limitation.
Abstract: Monitoring mechanisms that ensure efficient crop growth are essential on many farms, especially in certain areas of the planet where water is scarce. Most farmers must assume the high cost of the required equipment in order to be able to streamline natural resources on their farms. Considering that many farmers cannot afford to install this equipment, it is necessary to look for more effective solutions that would be cheaper to implement. The objective of this study is to build virtual organizations of agents that can communicate between each other while monitoring crops. A low cost sensor architecture allows farmers to monitor and optimize the growth of their crops by streamlining the amount of resources the crops need at every moment. Since the hardware has limited processing and communication capabilities, our approach uses the PANGEA architecture to overcome this limitation. Specifically, we will design a system that is capable of collecting heterogeneous information from its environment, using sensors for temperature, solar radiation, humidity, pH, moisture and wind. A major outcome of our approach is that our solution is able to merge heterogeneous data from sensors and produce a response adapted to the context. In order to validate the proposed system, we present a case study in which farmers are provided with a tool that allows us to monitor the condition of crops on a TV screen using a low cost device.

86 citations


Cites methods from "Intelligent Irrigation Control Syst..."

  • ...While the defuzzification process can be done using different method , the centroid technique method [48,49] was selected in this case....

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  • ...While the defuzzification process can be done using different methods, the centroid technique method [48,49] was selected in this case....

    [...]

Journal ArticleDOI
TL;DR: How digital farming solutions, such as mobile and web frameworks, can enable the management of smart irrigation processes, with the aim of reducing the stress faced by farmers and researchers due to the opportunity for remote monitoring and control is discussed.
Abstract: Freshwater is essential for irrigation and the supply of nutrients for plant growth, in order to compensate for the inadequacies of rainfall. Agricultural activities utilize around 70% of the available freshwater. This underscores the importance of responsible management, using smart agricultural water technologies. The focus of this paper is to investigate research regarding the integration of different machine learning models that can provide optimal irrigation decision management. This article reviews the research trend and applicability of machine learning techniques, as well as the deployment of developed machine learning models for use by farmers toward sustainable irrigation management. It further discusses how digital farming solutions, such as mobile and web frameworks, can enable the management of smart irrigation processes, with the aim of reducing the stress faced by farmers and researchers due to the opportunity for remote monitoring and control. The challenges, as well as the future direction of research, are also discussed.

53 citations

Journal ArticleDOI
TL;DR: In this article, an improved monitoring and data-driven modelling of the dynamics of parameters affecting the irrigation of a mustard leaf plant is presented using ESPresso Lite V20 module interfaced with different soil moisture sensors (VH-400), flowmeter (YF-S201) as well as Davis vantage pro 2 weather station to measure soil moisture content, irrigation volume, and computation of the reference evapotranspiration (ETo) The data collected including plant images were transmitted to the Raspberry Pi 3 controller for onward online storage and the data are displayed on the IoT dashboard

46 citations

Journal ArticleDOI
TL;DR: It is concluded that significant improvements in water savings and crop yield can be achieved incorporating artificial intelligence into precision irrigation, and further research is needed on irrigation scheduling based on multi-agent systems at different scales of agricultural production systems.

30 citations

References
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Journal ArticleDOI
31 Dec 1969
TL;DR: Boman et al. as mentioned in this paper presented a series of documents related to water management in citrus water management, one of which is the CH194 and Circular 1413 of the Agricultural and Biological Engineering Department, Florida Cooperative Extension Service, Institute of Food and Agricultural Sciences.
Abstract: 1. This is document No. CH194 and Circular 1413, one of a series of the Agricultural and Biological Engineering Department, Florida Cooperative Extension Service, Institute of Food and Agricultural Sciences, University of Florida. Publication date: July 2002. Please visit the EDIS Web site at http://edis.ifas.ufl.edu for additional publications related to citrus water management. This document can be accessed as http://edis.ifas.ufl.edu/CH194. 2. B. J. Boman, Associate Professor, Department of Agricultural and Biological Engineering, Indian River Research and Education Center, Ft. Pierce; Steve Smith, Aqua Engineering, Inc.; and Bill Tullos, Rain Bird Sales, Inc. Cooperative Extension Service, Institute of Food and Agricultural Sciences, Gainesville, FL 32611.

9 citations


"Intelligent Irrigation Control Syst..." refers background in this paper

  • ...In order to optimize the yield and the use of the available resources, wireless sensor networks can play a relevant role because of their ability of providing real-time data collected by spatially distributed sensors....

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01 Jan 2009
TL;DR: In this paper, the application of a relatively inexpensive continuous soil water monitoring system to assess crop model predictions of underor over-irrigation was investigated, where three Watermark soil water potential sensors and a soil temperature sensor were linked with a simple "Hobo" data-logger capable of recording hourly measurements.
Abstract: In this study, the application of a relatively inexpensive continuous soil water monitoring system to assess crop model predictions of underor over-irrigation was investigated. Three Watermark soil water potential sensors and a soil temperature sensor were linked with a relatively inexpensive ‘Hobo’ data-logger capable of recording hourly measurements. These measurement systems were installed in four sugarcane fields with the Watermark sensors at three depths: 15, 30 and 60-80 cm, dependent on site conditions. In-field data were recorded from August 2007 to July 2008, a period covering the sugarcane growing season. Continuous monitoring of the soil water potential provided strong evidence in support of other studies that the fields were under-irrigated. At one site, the crop experienced water stress for as much as 50% of the critical summer growth period. Early in the season, when sugarcane water requirements are relatively low, soil water potential was less than 50 kPa, indicating adequate water for almost 100% of the early growth period. Monitoring systems such as the one described, can add value in providing information to inform irrigation management decisions and contribute to optimising the use of water for crop production to the benefit of individual farmers and the wider community.

7 citations


"Intelligent Irrigation Control Syst..." refers background in this paper

  • ...The results show that the application is correct and reasonable and enables user to precisely acquire the crop water requirement information....

    [...]