Wireless Sensor Network with Power Management System for Water Level Regulation in Paddy Fields

Singh, Rajesh; Gehlot, Anita; Thakur*, Amit Kumar; Swain, Mahendra; Akram, Shaik Vaseem

doi:10.35940/ijitee.g5854.059720

Cited by 7 publications

(3 citation statements)

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“…Smart greenhouse management systems and WSNs are used to control and monitor agricultural parameters and activities in greenhouses autonomously [13,14]. A smart greenhouse information monitoring system records environmental factors with ZigBee wireless sensors [15].Wi-Fi-based smart WSN has been proposed to monitor the agricultural environment, and the system allows intelligent monitoring of agricultural conditions [16,17]. WSN's efforts recommend that sensor data can be collected and sent to the main server [18].…”

Section: Introductionmentioning

confidence: 99%

Agriculture Field Automation and Digitization Using Internet of Things and Machine Learning

et al. 2022

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The real-time smart monitoring with intelligence highly gained significant attention for enhancing the productivity of the crop. Currently, IoT generates a lot of real-time data from the sensors, actuators, and identification technologies. However, extracting the meaningful insights from the data is necessary for realizing the intelligent ecosystem in agriculture. Based upon the previous studies, it is also identified that the limited studies have merely implemented machine learning (ML) on real-time data obtained through customized hardware with dedicated server. In this study, we have proposed a customized hand-held device that enables to deliver recommendations to the farmer on the basis of real-time data obtained through IoT hardware and ML. A three-layer structure is proposed in the study for realizing custom hardware with 2.4 GHz ZigBee and IoT sensors for the data acquisition, communication, and recommendation. As a part of real-time implementation, the calibration of the sensors is processed to form a real-time dataset with precision. The study evaluated four ML models and concluded that XGBoost has shown a better accuracy on the proposed dataset. The XGBoost recommended the crop based on selected parameters. The developed hand-held device can be customized with advance features with crop recommendations.

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Section: Introductionmentioning

confidence: 99%

Agriculture Field Automation and Digitization Using Internet of Things and Machine Learning

et al. 2022

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“…The significance of retaining water quality shows the increasing necessity of advanced technologies for monitoring the water and manage the water quality [8,9]. The earlier methods require an individual to take samples of water and testing is performed done manually consume a lot of time and labor.…”

Section: Introductionmentioning

confidence: 99%

Water Quality Monitoring and Management of Building Water Tank Using Industrial Internet of Things

et al. 2021

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Water being one of the foremost needs for human survival, conservation, and management of the resource must be given ultimate significance. Water demand has increased tremendously all over the world from the past decade due to urbanization, climatic change, and ineffective management of water. The advancement in sensor and wireless communication technology encourages implementing the IoT in a wide range. In this study, an IoT-based architecture is proposed and implemented for monitoring the level and quality of water in a domestic water tank with customized hardware based on 2.4 GHz radiofrequency (RF) communication. Moreover, the ESP 8266 Wi-Fi module-based upper tank monitoring of the proposed architecture encourages provide real-time information about the tank through internet protocol (IP). The customized hardware is designed and evaluated in the Proteus simulation environment. The calibration of the pH sensor and ultrasonic value is carried out for setting the actual value in the prototype for obtaining the error-free value. The customized hardware that is developed for monitoring the level and quality of water is implemented. The real-time visualization and monitoring of the water tank are realized with the cloud-enabled Virtuino app.

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“…WSN architecture consists of three nodes, such as sensor node, cluster head node, sink node, etc. The sensor node deployed in the paddy field senses the water level data and communicates to the sink node with the help of the float sensor and the ZigBee wireless communication module [8]. A wireless technology is used in this setup with the support of the ZigBee and AvR microcontrollers.…”

Section: Introductionmentioning

confidence: 99%

Design and Development of Wireless Fan Regulator using ZigBee Concept

Gehlot¹

2020

IJATCSE

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Due to rapid advances in wireless communication, wireless sensor networks, and information technologies; it is now possible to integrate a level of smartness in the home environment. This paper deals with the proposed design and its implementation required to Wireless Fan Regulator. The main use of this regulator is to adjust the rotation speed of the fan using remote consisting of Zigbee, potentiometer, microcontroller, LCD at the transmitting section (remote unit), and Zigbee, LCD and dimmer at the receiving section (Slave unit). The device would allow a person to control the rotating speed of a fan by simply pointing the remote potentiometer or by pressing any key on the remote. The key target is that it can easily work approximately at a distance of 60 meters from the fan. There are two endpoints used, one is to transmit and the other one is to receive. At the transmitting section Zigbee module is used to transmit the data and at the receiving section also Zigbee module is used to receive the data and it will also display the same on LCD. The requirements of the power consumption are less in Zigbee communication i.e this communication is used in this paper. Since the transceivers power consumption is very less in Zigbee protocol communication so it's pretty obvious that Zigbee Protocol communication is the prime choice for smart object development.

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Wireless Sensor Network with Power Management System for Water Level Regulation in Paddy Fields

Cited by 7 publications

References 0 publications

Agriculture Field Automation and Digitization Using Internet of Things and Machine Learning

Agriculture Field Automation and Digitization Using Internet of Things and Machine Learning

Water Quality Monitoring and Management of Building Water Tank Using Industrial Internet of Things

Design and Development of Wireless Fan Regulator using ZigBee Concept

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