Performance evaluation of IEEE 802.15.4-compliant smart water meters for automating large-scale waterways

Ahmad, Zahoor; Pasha, Muhammad Adeel; Ahmad, Awais; Muhammad, Abubakr; Masud, Shahid; Schappacher, Manuel; Sikora, Axel

doi:10.1109/idaacs.2017.8095189

Cited by 9 publications

(5 citation statements)

References 8 publications

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“…Most of the research studies have performed on water management by monitoring such environmental parameters as temperature, humidity and soil moisture [1], [3], [5], [19], [25]. Many of the findings have focused on better water utilization, reduction inhuman intervention and the cost of production [18], [27].…”

Section: Discussionmentioning

confidence: 99%

“…The automation process of agricultural and farming reduced human interaction and improve the efficiency. The reason for that is every country population depends on agriculture thus consumers of these resources should use water and land resources optimally [19], [20]. Moreover, it is imperative to have good quality production and crop management in order to maximize profitability.…”

Section: Introductionmentioning

confidence: 99%

“…The new systems developed using IoT technologies have reduced the drawbacks associated with traditional approaches and provided many advantages to farmers. For example, IoT-based water management systems collect environmental attributes such as temperature, water level and humidity through the sensors and provide accurate irrigation timing [19], [21]. In addition, crop management systems developed using IoT monitor the temperature, humidity and soil through sensors thus providing adequate information so that farmers can manage the crops appropriately [25].…”

Section: Introductionmentioning

confidence: 99%

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Adoption of the Internet of Things (IoT) in Agriculture and Smart Farming towards Urban Greening: A Review

Madushanki¹,

Halgamuge²,

Wirasagoda³

et al. 2019

IJACSA

157

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It is essential to increase the productivity of agricultural and farming processes to improve yields and costeffectiveness with new technology such as the Internet of Things (IoT). In particular, IoT can make agricultural and farming industry processes more efficient by reducing human intervention through automation. In this study, the aim to analyze recently developed IoT applications in the agriculture and farming industries to provide an overview of sensor data collections, technologies, and sub-verticals such as water management and crop management. In this review, data is extracted from 60 peer-reviewed scientific publications (2016-2018) with a focus on IoT sub-verticals and sensor data collection for measurements to make accurate decisions. Our results from the reported studies show water management is the highest subvertical (28.08%) followed by crop management (14.60%) then smart farming (10.11%). From the data collection, livestock management and irrigation management resulted in the same percentage (5.61%). In regard to sensor data collection, the highest result was for the measurement of environmental temperature (24.87%) and environmental humidity (19.79%). There are also some other sensor data regarding soil moisture (15.73%) and soil pH (7.61%). Research indicates that of the technologies used in IoT application development, Wi-Fi is the most frequently used (30.27%) followed by mobile technology (21.10%). As per our review of the research, we can conclude that the agricultural sector (76.1%) is researched considerably more than compared to the farming sector (23.8%). This study should be used as a reference for members of the agricultural industry to improve and develop the use of IoT to enhance agricultural production efficiencies. This study also provides recommendations for future research to include IoT systems' scalability, heterogeneity aspects, IoT system architecture, data analysis methods, size or scale of the observed land or agricultural domain, IoT security and threat solutions/protocols, operational technology, data storage, cloud platform, and power supplies.12 | P a g e www.ijacsa.thesai.orgThis review provides an overall picture of currently developed IoT applications in agriculture and farming between 2016 and 2018.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Adoption of the Internet of Things (IoT) in Agriculture and Smart Farming towards Urban Greening: A Review

Madushanki¹,

Halgamuge²,

Wirasagoda³

et al. 2019

IJACSA

157

View full text Add to dashboard Cite

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“…Recently, smart and highly-functional telemetry systems having various kinds of advanced sensors have been developed and practically used. [10][11][12] With the help of state-of-art information technologies such as the Internet-of-Things (IoT) and big data analysis, enormous data from distributed sensor devices would be effectively collected and valuable information about not only water quality, but also localized deterioration or malfunction of water distribution pipelines, could be extracted. 13,14 In order to realize such a sophisticated water supply system, many sensor devices for monitoring various water quality indexes have been proposed and developed so far.…”

mentioning

confidence: 99%

Potentiometric Free Chlorine Detection without Using Conventional Reference Electrodes

Okazaki¹,

Yoshida²,

Kodera³

et al. 2021

J. Electrochem. Soc.

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Chlorine disinfection of water is one treatment method to supply safe tap water. The quantitative monitoring of free chlorine concentration as an important water quality index is effective to maintain tap water hygienic safety. In this study, a simple potentiometric sensor which is composed of two dissimilar metal electrodes (a pair of platinum and austenitic stainless steel: SUS316) was evaluated in synthetic and actual tap water. It was demonstrated that the open circuit potential of each electrode had a different sensitivity to free chlorine and that the difference could be extracted as the sensing signal without using conventional reference electrodes. In a flowing system using tap water, more than 300 mV of large sensor signal and good reproducibility were observed at a free chlorine concentration of 0.6 mg l−1. The long-term baseline drift was within the range of ±10 mV and the sensor was almost immune to various environmental factors such as temperature, pressure, flow rate, and conductivity, but not for pH. These results would pave the way to develop various sensor applications that could be directly applied to tap water pipelines for continuous in-line monitoring of residual chlorine with low cost and maintenance.

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“…To improve yield of agriculture produce, agri resources like land, water and fertilizer should be used optimally.Smart farming can overcome the old agiculture challanges thus improving the yield [10] [11].IoT sensors collect accurate field data and use fuzzy logic and network coding to aid data processing, improving system efficiency.…”

mentioning

confidence: 99%

Towards Transforming Agriculture for Challenges of 21st Century by Optimizing Resources Using IOT, Fuzzy Logic and Network Coding

Syed¹,

Ali²

2021

Preprint

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Climate risk is one of the confronting factors in Indian agriculture. To overcome this distrust, a large number of sensors can be installed in the fields,The extensive IoT platform can process the data sent by these sensors.The Data stream can be processed in real-timeusing Fuzzylogic, to offer smart solution. Network coding can enhance throughput and security. Thus reducing human interaction and improve efficiency.

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Performance evaluation of IEEE 802.15.4-compliant smart water meters for automating large-scale waterways

Cited by 9 publications

References 8 publications

Adoption of the Internet of Things (IoT) in Agriculture and Smart Farming towards Urban Greening: A Review

Adoption of the Internet of Things (IoT) in Agriculture and Smart Farming towards Urban Greening: A Review

Potentiometric Free Chlorine Detection without Using Conventional Reference Electrodes

Towards Transforming Agriculture for Challenges of 21st Century by Optimizing Resources Using IOT, Fuzzy Logic and Network Coding

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