Framework for the implementation of an Internet of Things (IoT)-based water distribution and management system

Maroli, Ankit Anilkumar; Narwane, Vaibhav S.; Raut, Rakesh D.; Narkhede, Balkrishna E.

doi:10.1007/s10098-020-01975-z

Cited by 37 publications

(14 citation statements)

References 31 publications

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“…For the problem of commercial information asymmetry, some scholars have studied the coconstruction and sharing of supply chain information to provide supply chain performance and the application of optimization algorithms and computer-aided decisionmaking in the enterprise supply chain. Scholars have studied issues such as supply chain operation strategy optimization and decision-making improvement [10].…”

Section: Related Workmentioning

confidence: 99%

[Retracted] Optimization of E‐Commerce Supply Chain Management Process Based on Internet of Things Technology

2021

Complexity

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The widespread use of Internet technology has changed people’s traditional life mode and created a new market transaction mode, namely, e-commerce platform. The Internet of Things can carry out real-time monitoring and management of any product in e-commerce and not only can realize information sharing in commercial activities but also can play a greater role in the protection of personal and enterprise information security. In this context, the efficiency and low cost of information flow, cash flow, logistics, and human resources among enterprises are particularly important. The Internet of Things technology is a means to effectively improve and optimize the operation mode of the supply chain. This paper analyzes the status of traditional supply chain management, which discusses the development of a supply chain management based on the Internet of Things technology. Finally, this paper analyzes how to realize the optimization strategy of e-commerce supply chain management based on the Internet of Things technology, which provides strong support for the informatization of e-commerce supply chain management. Through the application of the Internet of Things technology, small- and medium-sized enterprises can optimize the workflow and circulation links of the e-commerce supply chain management, enhance the matching level of product value and information transmission, improve the supply chain operation mechanism, and increase economic benefits.

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Section: Related Workmentioning

confidence: 99%

[Retracted] Optimization of E‐Commerce Supply Chain Management Process Based on Internet of Things Technology

2021

Complexity

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“…The researchs proposed an IoT API to monitor the environmental conditions in a greenhouse, they built a two-node system where the sink node gets the information from the device node it will be retransmitted to a management countersuing short message service (SMS) protocol [5]- [7]. But the data can only be visible at the management center and the cost to make this paper is marginally high for a small grade farmer to afford.…”

Section: Methodsmentioning

confidence: 99%

Smart agriculture monitoring system for outdoor and hydroponic environments

Edwin

Veemaraj

Parthiban³

et al. 2022

IJEECS

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<span>Agriculture plays an important role in economic aspects in most countries like India. Numerous problems associated with farming are continuously affecting the actions that are happening in the country. A potential resolution for such issues to be eradicated, one should combine the technological advancements with current ongoing agricultural practices. Good agricultural practice will increase crop productivity and reduce unwanted water usage. Many authors have done research on temperature, nutrition, and pH-controlled systems. But no one concentrated on alert messages sent to the mobile phone. The main objective of the proposed system measures various natural aspects that use a global system for mobile communication (GSM) module that is connected to an Arduino to transfer the data that is obtained by the sensors to an internet of things (IoT) <a name="_Hlk93396762"></a>application programming interface (API) which is a kind of cloud computing of obtained data, this data can be analyzed if needed, and an alert short message service (SMS) is sent to the cell phone/mobile phone. The alert message can be done through conversational artificial intelligence (CAI). It is the collection of technologies behind triggering the message that will be sent automatically to the mobile as an SMS if any of the sensor values that are generating are not under already specified threshold values.</span>

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“…Water level-based scheduling was proposed by [41] and uses a low-cost water level sensor along with inputs from the local farmers through the IoT. In [42], the authors present a framework using an IoT-based water distribution and management system that utilizes water flow meters, ultrasonic sensors and motors. The over-usage of freshwater for flood irrigation is addressed by [43].…”

Section: Related Workmentioning

confidence: 99%

Dimensioning of Wide-Area Alternate Wetting and Drying (AWD) System for IoT-Based Automation

Siddiqui

Akther

Rahman

et al. 2021

Sensors

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Water, one of the most valuable resources, is underutilized in irrigated rice production. The yield of rice, a staple food across the world, is highly dependent on having proper irrigation systems. Alternate wetting and drying (AWD) is an effective irrigation method mainly used for irrigated rice production. However, unattended, manual, small-scale, and discrete implementations cannot achieve the maximum benefit of AWD. Automation of large-scale (over 1000 acres) implementation of AWD can be carried out using wide-area wireless sensor network (WSN). An automated AWD system requires three different WSNs: one for water level and environmental monitoring, one for monitoring of the irrigation system, and another for controlling the irrigation system. Integration of these three different WSNs requires proper dimensioning of the AWD edge elements (sensor and actuator nodes) to reduce the deployment cost and make it scalable. Besides field-level monitoring, the integration of external control parameters, such as real-time weather forecasts, plant physiological data, and input from farmers, can further enhance the performance of the automated AWD system. Internet of Things (IoT) can be used to interface the WSNs with external data sources. This research focuses on the dimensioning of the AWD system for the multilayer WSN integration and the required algorithms for the closed loop control of the irrigation system using IoT. Implementation of the AWD for 25,000 acres is shown as a possible use case. Plastic pipes are proposed as the means to transport and control proper distribution of water in the field, which significantly helps to reduce conveyance loss. This system utilizes 250 pumps, grouped into 10 clusters, to ensure equal water distribution amongst the users (field owners) in the wide area. The proposed automation algorithm handles the complexity of maintaining proper water pressure throughout the pipe network, scheduling the pump, and controlling the water outlets. Mathematical models are presented for proper dimensioning of the AWD. A low-power and long-range sensor node is developed due to the lack of cellular data coverage in rural areas, and its functionality is tested using an IoT platform for small-scale field trials.

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Framework for the implementation of an Internet of Things (IoT)-based water distribution and management system

Cited by 37 publications

References 31 publications

[Retracted] Optimization of E‐Commerce Supply Chain Management Process Based on Internet of Things Technology

[Retracted] Optimization of E‐Commerce Supply Chain Management Process Based on Internet of Things Technology

Smart agriculture monitoring system for outdoor and hydroponic environments

Dimensioning of Wide-Area Alternate Wetting and Drying (AWD) System for IoT-Based Automation

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