Smart water management framework for irrigation in agriculture

Bhardwaj, Akashdeep; Kumar, Manoj; Alshehri, Mohammed; Keshta, Ismail; Abugabah, Ahed; Sharma, Sunil Kumar

doi:10.1080/09593330.2022.2039783

Cited by 16 publications

(4 citation statements)

References 21 publications

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“…Several aspects must be considered when calculating the costs and advantages of an automated framework for effective water management in Madinah City. [64,65]. The advantages and disadvantages of an automated system are shown in Table 12 for the NWC projects in Saudi Arabia's Madinah Province [66].…”

Section: Automated Frameworkmentioning

confidence: 99%

A Blockchain Based Framework for Efficient Water Management and Leakage Detection in Urban Areas

Naqash,

Syed,

Alqahtani

et al. 2023

Urban Science

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Sustainable urban water management is essential to handle water scarcity, leakage, and inefficient distribution. This paper covers water management in urban areas, including an introduction, an overview of water management practices, the characteristics and functioning of water distribution systems, monitoring and control systems for efficient distribution, smart systems for optimization, strategies for water conservation and waste management, per capita water demand analysis, and desalination plant overviews. The article proposes a blockchain-based water management architecture with IoT sensors for accurate reporting. The framework uses blockchain technology to authenticate and share real-time data between sensors and the water distribution dashboard. It also has a modular API for water leakage detection and flow control to decrease water waste and enhance distribution. The suggested approach might enhance water management; however, its execution is complex. Maintaining the framework’s efficacy is advised. The research provides insights into water management and proposes a technology solution employing blockchain and IoT sensors for trustworthy data reporting and effective water distribution to promote sustainable urban water management.

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Section: Automated Frameworkmentioning

confidence: 99%

A Blockchain Based Framework for Efficient Water Management and Leakage Detection in Urban Areas

Naqash,

Syed,

Alqahtani

et al. 2023

Urban Science

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“…Data-driven methods for water conservation are optimized with Cloud computing environment to provide a common platform for water conservancy [20] . IoT-driven garden watering is presented by M. S. Nugraha et al [21]. For resource management, Gupta et al [22] investigate smart water technology.…”

Section: Literature Reviewmentioning

confidence: 99%

Smart Pumping System using Energy Efficiency Control Algorithm

Thopate,

Bhatlawande,

Shilaskar

2023

IJRITCC

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Water is one of the most important resources for sustaining life on earth. It is essential for daily activities like cooking, cleaning, and bathing. In residential areas, water supply systems are usually managed by Municipal Corporations or other governing bodies. This project mainly focuses on the IoT based solution for automation of the water tank filling system in our residential area. In this project two Esp8266 MCU connected to the same cloud channel are used, one will be at the Water Source side and other will be at Tank side. The Ultrasonic Sensor connected to the Esp8266 senses the water level in the tank, if the Water level is low the Esp8266 will sent the Motor ON signal to the ThingSpeak IoT Cloud and the Esp8266 at the river or dam side is also connected to the same cloud channel will read that signal and turn the ‘Motor ON’. If the tank is full the Esp8266 sends the ‘Motor OFF signal’ over the cloud and the other microcontroller at the river/dam side will turn OFF the motor. A web interface displaying graphs and indicators is also provided for the user to study and analyze the data from the system.

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“…Current research on SA mainly includes the definition and characteristics of the concept of SA, the development status of SA, problems and countermeasures 16 – 18 . Scholars have explored the core technologies inSA in depth, mainly focusing on applications in agricultural production as well as operation and management 19 , as well as typical development models and practices of SA at home and abroad 20 .…”

Section: Introductionmentioning

confidence: 99%

Study on the influence mechanism of adoption of smart agriculture technology behavior

Liu

Chen

et al. 2023

Sci Rep

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Smart agricultural (SA) technology has become a technological support for modern agriculture. By exploring the decision-making process and psychological motivation of farmers in adopting SA technology, it is conducive to achieving the popularisation of SA technology and promoting the modernisation of agriculture. Based on microscopic research data, a Structural Equation Model (SEM) is used to analyse the influencing factors and extent of cotton farmers’ adoption of SA technologies, using Deconstructive Theory of Planned Behavior (DTPB) as the analytical framework. This was combined with in-depth interviews to further reveal the motivations and influencing mechanisms of cotton farmers’ adoption of SA technologies. The results show that under the behavioural belief dimension, cotton farmers value the positive effect of perceived usefulness even though the risk of the technology itself has a dampening effect on adoption intentions. Under the normative belief dimension, superior influence influenced the willingness to adopt SA technologies to a greater extent than peer influence. Under the control belief dimension, factors such as self-efficacy and information channels influence willingness to adopt technology and behaviour. In addition, behavioural attitudes, subjective norms, and perceived behavioural control all contribute to cotton farmers’ willingness to adopt SA technologies, and can also influence behaviour directly or indirectly through willingness to adopt. Policy and technology satisfaction positively moderate the transition from willingness to behaviour. Therefore, preferential policies are proposed to reduce the cost of adopting SA technologies; to continuously improve the level of SA technologies; to establish SA technology test plots to provide a reference base; and to increase knowledge training on SA and expand access to information.

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Smart water management framework for irrigation in agriculture

Cited by 16 publications

References 21 publications

A Blockchain Based Framework for Efficient Water Management and Leakage Detection in Urban Areas

A Blockchain Based Framework for Efficient Water Management and Leakage Detection in Urban Areas

Smart Pumping System using Energy Efficiency Control Algorithm

Study on the influence mechanism of adoption of smart agriculture technology behavior

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