Smart scheduling on cloud for IoT-based sprinkler irrigation

Mannan, J. Mannar; Suguna, S.; Dhivya, M.; Parameswaran, T.

doi:10.1108/ijpcc-03-2020-0013

Cited by 15 publications

(3 citation statements)

References 24 publications

(22 reference statements)

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“…Recently, IoT architectures have received great attention for smooth data acquisition and analysis [12,13]. In the context of SWN, IoT architecture facilitates smooth data acquisition from heterogeneous sensors online, including layered architecture and cloud-based architecture [14,15].…”

Section: Related Workmentioning

confidence: 99%

Interoperability Structure of Smart Water Conservancy Based on Internet of Things

Wang,

2024

International Journal of Distributed Sensor Networks

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Massive smart water conservancy object (WCO) need to be connected for real-time monitoring and control, which produces massive data. Unfortunately, heterogeneous data structures and semantics lead to low interoperability between WCO and management systems. To address this challenge, we propose a novel interoperability structure for a smart water conservancy system based on the Internet of Things (IoT), and the key design includes a smart WCO terminal, interoperability network, special interoperability protocol, WCO information model, and cloud platform. Universal terminal and network are the base of interoperability hardware, and special interoperability protocol and information model for interconnection of WCO are designed for smart water conservancy management system. WCO can be connected to a water conservancy Big Data processing cloud platform for interoperability applications. The application results demonstrate that our proposed WCO’s interoperability structure has obvious advantages than the general IoT at WCO interoperability. The interoperability protocol is reliable, the information model can ease interoperability and security, and the semantic dictionary is very rich and covers all semantic services of WCO.

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Section: Related Workmentioning

confidence: 99%

Interoperability Structure of Smart Water Conservancy Based on Internet of Things

Wang,

2024

International Journal of Distributed Sensor Networks

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“…System restrictions on high consumption of fertilizers as a result of improper fertilizer application and placement. Mannan et al [39] developed an IoT-based smart irrigation system to decrease labour, energy, and water use for irrigation. It is built with various sensors that measure wind speed, water, humidity, temperature, soil moisture, and light to gather information about agricultural fields and store it in the cloud to calculate irrigation schedules.…”

Section: Previous Work-based Other Algorithmsmentioning

confidence: 99%

Wireless Sensor Network-Based Artificial Intelligent Irrigation System: Challenges and Limitations

Asaad Yaseen Ghareeb,

Gharghan,

Mutlag

et al. 2023

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As the global population and economy grow rapidly, the demand for accessible freshwater sources also increases to meet the rising consumption. However, this has resulted in several challenges, such as the global water crisis, drought, and scarcity of freshwater resources. To address this issue, many farmers worldwide rely on traditional irrigation systems despite their high water consumption. Therefore, there is a need to improve water usage efficacy in irrigated farming. This can be achieved by leveraging the Internet of Things (IoT) and advanced control technologies for better monitoring and managing irrigated farming. This article presents the findings of a comprehensive literature review on irrigation monitoring and sophisticated control systems, focusing on recent studies published within the last four years. The latest research on precision irrigation monitoring and cutting-edge control methods is highlighted. This study aims to serve as a valuable resource for those interested in understanding monitoring and advanced control prospects in the context of irrigated agriculture, as well as for academics seeking to stay up-to-date on the latest developments and identify research gaps that need to be addressed.

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“…Internet of things (IoT) devices are simple yet smart devices proven to provide intelligent solutions to real-time problems through internet (McLeod et al , 2015). The IoT-based smart irrigation system considered with many sensors to gather farm field data, followed by storage and regulation of information to automate the irrigation process (Dhivya and Parameswaran, 2020). As it exchanges the data through internet from one device to another it is defined as a link between physical objects such as devices, buildings, vehicles and humans.…”

Section: Introductionmentioning

confidence: 99%

Detecting coronavirus contact using internet of things

Thangamani¹,

Ganthimathi²,

Sridhar³

et al. 2020

IJPCC

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Purpose The purpose of this paper is to identify coronavirus contact using internet of things. The disease is said to be highly contagious with the contact of infected persons. Feared to be air-borne, droplets of body fluids can transmit the disease in a matter of hours. The predominant symptoms of the COVID-19 are high fever, cough, breathing problem, etc. Recent studies have demonstrated the evolution of the disease to hide its symptoms. As it is highly transmissible, this disease might spread at an exponential rate costing the lives of thousands of people. The chain of transmission has to be detected with utmost priority through early detection and isolation of infected people. Automated internet of things (IoT) devices can be used in design and implementation of a prediction scheme for reporting the health-care risks of the patients with various parameters such as temperature, humidity and blood pressure. Design/methodology/approach IoT is a configuration of multiple autonomous and embedded wireless devices for serving a purpose. Every object possesses an individual identity and will serve to register critical events as entries for future learning and decisions. IoT plays an inevitable role in medical industries, detection of vital signs of diseases and monitoring. Among other life-threatening diseases, a new pandemic is on rise among world nations. COVID-19, a novel severe acute respiratory syndrome virus originated from animals in December 2019 and is becoming a serious menace to Governments, despite serious measures of lockdowns. Findings In this paper, the authors defined an architecture of an IoT system to predict the Covid-19 disease by getting the data from the human through sensors and send the data to the doctor using mobile, computer, etc. The main goal is early health surveillance by predicting COVID-19. Accordingly, the authors are able to identify both symptomatic and asymptomatic patients, which will help in the early prediction of disease. Originality/value Using the proposed method, the authors can save the time of both patient and doctor by ensuring timely medical treatment and contribute toward breaking the transmission chain. In so doing, the method also contributes toward avoiding unnecessary expenses and saving human lives.

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Smart scheduling on cloud for IoT-based sprinkler irrigation

Cited by 15 publications

References 24 publications

Interoperability Structure of Smart Water Conservancy Based on Internet of Things

Interoperability Structure of Smart Water Conservancy Based on Internet of Things

Wireless Sensor Network-Based Artificial Intelligent Irrigation System: Challenges and Limitations

Detecting coronavirus contact using internet of things

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