Nitrate and Sulfate Estimations in Water Sources Using a Planar Electromagnetic Sensor Array and Artificial Neural Network Method

Nor, Alif Syarafi Mohamad; Faramarzi, Mahdi; Yunus, Mohd Amri Md; Ibrahim, Suhaimi

doi:10.1109/jsen.2014.2347996

Cited by 35 publications

(16 citation statements)

References 28 publications

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“…Optical sensing is based on reflectance spectroscopy to measure the reflection and absorption by these macrosimulation [104,110,113]. To detect nitrate and sulfate concentration in natural water resources, a sensing method using planar electromagnetic sensors has been developed in [121]. This method is used to sense nitrate and sulfate levels by correlating the impedance of the sensor array with the concentration of these pollutants.…”

Section: Electrical Conductivity and Topography Surveysmentioning

confidence: 99%

“…This method is used to sense nitrate and sulfate levels by correlating the impedance of the sensor array with the concentration of these pollutants. It has been shown that sensor impedance decreases with increase in concentration of these chemicals [121]. Electrochemical, VIS-NIRS spectroscopy, and ATR spectroscopy are the major soil macro-nutrients sensing approaches.…”

Section: Electrical Conductivity and Topography Surveysmentioning

confidence: 99%

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Internet of underground things in precision agriculture: Architecture and technology aspects

et al. 2018

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The projected increases in World population and need for food have recently motivated adoption of information technology solutions in crop fields within precision agriculture approaches. Internet Of Underground Things (IOUT), which consists of sensors and communication devices, partly or completely buried underground for real-time soil sensing and monitoring, emerge from this need. This new paradigm facilitates seamless integration of underground sensors, machinery, and irrigation systems with the complex social network of growers, agronomists, crop consultants, and advisors. In this paper, state-of-the-art communication architectures are reviewed, and underlying sensing technology and communication mechanisms for IOUT are presented. Moreover, recent advances in the theory and applications of wireless underground communication are also reported. Finally, major challenges in IOUT design and implementation are identified.

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Section: Electrical Conductivity and Topography Surveysmentioning

confidence: 99%

Section: Electrical Conductivity and Topography Surveysmentioning

confidence: 99%

Internet of underground things in precision agriculture: Architecture and technology aspects

et al. 2018

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“…It is reported that PESA has the ability to detect and estimate nitrate in water samples [3,6,7,19,48,49,76].…”

Section: Optimum Valuementioning

confidence: 99%

Techniques in Advancing the Capabilities of Various Nitrate Detection Methods: A Review

Azmi

Azman

Ibrahim

et al. 2017

International Journal on Smart Sensing and Intelligent Systems

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“…Lastly, remote sensing systems can exploit satellite imagery for large-scale environmental monitoring of planetary phenomena, such as pollution [9], [43], weather forecasts [8], seismic activity [44]. In environmental applications, CI techniques are often used to detect the phenomenon of interest by fusing data obtained from heterogeneous environmental sensors (e.g, temperature, humidity, chemical concentration, vibrations) [19], [39], [41], [42], by classifying the distinctive features extracted from onedimensional or two-dimensional signals [8], [9], [35], [43], [44], and by performing forecasts based on time series analysis [7], [38].…”

Section: Monitoringmentioning

confidence: 99%

Computational intelligence for industrial and environmental applications

Labati

Genovese

Muñoz

et al. 2016

2016 IEEE 8th International Conference on Intelligent Systems (IS)

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Computational Intelligence (CI) techniques are being increasingly used for automatic monitoring and control systems, especially regarding industrial and environmental applications, due to their performance, their capabilities in fusing noisy or incomplete data obtained from heterogeneous sensors, and the ability in adapting to variations in the operational conditions. Moreover, the increase in the computational power and the decrease of the size of the computing architectures allowed a more pervasive use of CI techniques in a great variety of situations. In this paper, we propose a brief review of the most important CI techniques applied in each step of the design of a monitoring and control system for industrial and environmental applications, and describe how these techniques are integrated in the development of efficient industrial and environmental applications.

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Nitrate and Sulfate Estimations in Water Sources Using a Planar Electromagnetic Sensor Array and Artificial Neural Network Method

Cited by 35 publications

References 28 publications

Internet of underground things in precision agriculture: Architecture and technology aspects

Internet of underground things in precision agriculture: Architecture and technology aspects

Techniques in Advancing the Capabilities of Various Nitrate Detection Methods: A Review

Computational intelligence for industrial and environmental applications

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