Design of Wireless Sensor Network for Monitoring of Soil Quality Parameters

Georgieva, Tsvetelina; Paskova, Nadezhda; Gaazi, Belma; Todorov, G.; Daskalov, Plamen

doi:10.1016/j.aaspro.2016.09.011

Cited by 18 publications

(14 citation statements)

References 2 publications

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“…The authors reported that their design has the potential for the real world application in the agricultural scenario. In [14], a wireless sensor network was implemented to sense soil quality parameters like conductivity and acidity of the soil so as to determine the quantity of fertilizers needed at regular interval. In [2], a study was made regarding different architectures of the WSN that can be deployed in an agricultural environment.…”

Section: B Wsn For Sensing Important Environmental Parametersmentioning

confidence: 99%

Raspberry Pi as Visual Sensor Nodes in Precision Agriculture: A Study

2019

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Wireless sensor network applications in the agricultural sector are gaining popularity with the advancement of the Internet of Things technology. Predominantly, wireless sensor networks are used in agriculture to sense the important agricultural field parameters, such as temperature, humidity, soil moisture level, nitrite content in the soil, groundwater quality, and so on. These sensed parameters will be sent to a remote station, where it will be processed and analyzed to build a decision support system. This paper describes the implementation of a wireless visual sensor network for precision agriculture to monitor paddy crop for weeds using Raspberry Pi. Bluetooth 4.0 was used by visual sensor nodes to send the data to the base station. Base station forwarded the data to the remote station using IEEE 802.11 a/b/g/n standard. The solar cell battery was used to power up the sensor nodes and the base station. At the remote station, images were preprocessed to remove soil background and different shape features were extracted. Random forest and support vector machine classifiers were used to classify the paddy crop and weed based on the shape features. The results and observations obtained from the experimental setup of the system in a small paddy field are also reported. This system could be expected to enhance the crop production by giving timely advice to the crop producers about the presence of weeds so that steps can be taken to eradicate weeds.

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Section: B Wsn For Sensing Important Environmental Parametersmentioning

confidence: 99%

Raspberry Pi as Visual Sensor Nodes in Precision Agriculture: A Study

2019

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“…To monitor the traffic volume, performing vehicle classification, an IoT based wireless sensor system is presented in this paper [15].In the paper [16] a WSN based monitoring system to monitor Soil quality parameters such as humidity, temperature, acidity, and conductivity is proposed. A wearable smart sensor device is designed in the paper [17]for an elderly person which can detect the accidental falls of the person by monitoring the treble, using consumer home networks. The paper [18] proposed in-pipe monitoring and on-the-fly assessment of water quality in real time for drinking water distribution system by using low-cost sensor nodes.…”

Section: Related Workmentioning

confidence: 99%

“…An ECG monitoring system based on home-based wireless network i.e. Zigbee has presented in the paper [17], which not only monitors the health of the people in their own home but also can be monitored by the physician periodically for providing appropriate healthcare.The most of the related research based on wireless sensor network.The WSN being the ad-hoc type of network it even connected with wireless access point it associated with some issue.…”

Section: Related Workmentioning

confidence: 99%

A Secure Internet of Things based Smart Monitoring System

Mohanta¹,

Jena²

2019

IJITEE

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Internet of Things (IoT) is a connection of interconnected any things deployed in different applications. The IoT is emerging as a technique for real-time monitoring the environment like Earthquake early detection. Snow level monitoring, forest fire detection, Gas level monitoring in a Smart Kitchen. IoT based sensor network need secure communication, processing, analytics and transient storage for better monitoring of smart environments. In this article, the authors proposed a secure framework for data collection and further processing from the sensors network to the core of the network using Fog-Cloud based architecture. The paper implemented the proposed framework taking different sensors deploy in an IoT based smart kitchen environment. For experimental purpose, Raspberry Pi used as a fog node and local cloud server to monitor the environment in real-time, SQLite is used as buffer storage. The experimental setup and result show that the proposed framework is secure to monitoring in a sensor network.

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“…Recent work has shown that the costs of a scientific equipment can be dramatically reduced by applying open source principles to your project using the hardware and software combination of the electronic prototyping platform called "Arduino" [9]. Algumas pesquisas fazem uso desta plataforma, podendo-se citar: Fatehnia et al, [10], Mesas-Carrascosa et al, [11], Ali et al, [12], Kviesis e Zacepins [13], Fezary et al, [14], Laskar et al, [15], Groener et al, [16], Prima et al, [17], Georgieva et al, [18], Gosai e Bhavsar [19] e Pocero et al, [20].…”

Section: Related Workmentioning

confidence: 99%

Low-cost Arduino-based Temperature Measuring System

NdO¹,

G²,

Af³

et al. 2018

Preprint

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The commercial equipment that carries out the measurement of temperature has a high cost. Therefore, this article describes the development of a temperature measurement equipment, which uses a microcontrolled platform, responsible for managing the data of the collected temperature signals and making available the acquired information, so that they can be verified in real time at the measurement site, or remotely. The construction of the temperature measurement equipment was performed using open platform hardware / software, where performance tests were carried out with the objective of developing a temperature measurement equipment that has measurement quality and low cost.

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Design of Wireless Sensor Network for Monitoring of Soil Quality Parameters

Cited by 18 publications

References 2 publications

Raspberry Pi as Visual Sensor Nodes in Precision Agriculture: A Study

Raspberry Pi as Visual Sensor Nodes in Precision Agriculture: A Study

A Secure Internet of Things based Smart Monitoring System

Low-cost Arduino-based Temperature Measuring System

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