AquaMesh - Design and Implementation of Smart Wireless Mesh Sensor Networks for Aquaculture

Odey, Adinya John

doi:10.11648/j.ajnc.20130203.15

Cited by 16 publications

(11 citation statements)

References 8 publications

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“…The data generated is stored locally on the gateway or sent to remote web server. Data can be accessed with smart mobile phones or personal computer [8].…”

Section: Related Workmentioning

confidence: 99%

Wireless water quality monitoring system for high density aquaculture application

Saparudin

Chee

Ghafar

et al. 2019

IJEECS

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<span>Water quality is one of the major factors that greatly affects growth and mortality rate of aquatic livestock especially in high density aquaculture system. Conventional method requires fish farmer to perform manual water quality test and record on multiple fish tanks in regular basis. This process is meticulous, and may affect aquatic livestock that needs close and immediate attention. In this paper, water quality monitoring system for the high density aquaculture environment is proposed. The monitoring system is composed of multiple sensor nodes and sensor/server node hybrid, which used to collect and manage the water quality parameter data of multiple tanks. The sensor nodes collect and store the water quality parameters in local database and transmit them to the server node through a wireless communication. The server node is used for data analysis, processing and allow public access via web browser through various Wi-Fi enabled smart devices. This paper presents a proof-of concept of clustered wireless monitoring system focused on the use of multiple sensor nodes to determine the water parameter in real time. This system is cost effective, quickly deployable, and user-friendly with wireless capabilities.</span>

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“…The data generated is stored locally on the gateway or sent to remote web server. Data can be accessed with smart mobile phones or personal computer [8].…”

Section: Related Workmentioning

confidence: 99%

Wireless water quality monitoring system for high density aquaculture application

Saparudin

Chee

Ghafar

et al. 2019

IJEECS

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“…Water level sensors are just like float level sensors but a magnet combine is sealed within the float arm pivot, because the float moves up the motion and site are transmitted because the position of the force field [7]. This detection system is very correct all the way down to 0.02 Degrees of motion.…”

Section: Water Level Sensormentioning

confidence: 99%

A Web based Observance and Alerting for Underground and Fish Pond Water Quality

Ramya¹,

Balaji²,

Akilan³

2015

IJCA

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Water is one amongst the foremost necessary and basic natural resources. This approach of constant observance and alerting of underground and fish pond water shall promote the implementation of actions that will forestall human sickness caused thanks to consumption of poor quality of water and to develop health Fish Lake. This project proposes a sensing element primarily based pollution detection and alerting to the licensed agent via SMS and e-mail. The key parameters taken under consideration during this work are pH scale level, temperature, Dissolved Oxygen(DO) for fish lake water and therefore the water level, Total dissolved solids (TDS) were thought of for underground water. These parameters were detected by the corresponding sensors associated and are sent to the microcontroller unit wherever it is compared with the set point and invokes an alarm according it. The LCD display interfaces with the microcontroller unit to reveal this noninheritable parameter of water. Further, these parameters were sent to the base station through the wireless Zig-Bee communication module. Web site is maintained to store parameter of water and therefore the agent will read the water quality through web site (www.watermonitoringsystem.in). Once water parameter is not acceptable for drinking purpose then associate E-Mail and SMS alert is given to the user.

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“…The weakness of this research is that there is no action done when the water condition has a high or low pH and temperature levels [17], A similar research was done by Odey, conducted in 2013. The research conducted design and implementation of smart wireless mesh sensor networks for aquaculture, the drawback is because it is used only lightweight wireless, it cannot be controlled remotely and only reads input from sensors without any action done [18]. Another study was conducted by Chen in 2015 using GPRS Technology and MSP430f149 microprocessor to detect water quality using water level parameters, PH, temperature and oxygen levels, but the shortcomings of this study was that it only provide action to replace water and the technology used, and does not use the Internet, even though it is mobile based app [19].…”

Section: Introductionmentioning

confidence: 99%

Detection of water quality in crayfish ponds with IoT

et al. 2021

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Data from the Central Bureau of Statistics shows that during the first quarter of 2014 to 2019, the tendency of Indonesian crayfish export increases by an average of 3.54% in 2019 and reach 7.09 million USD. This number still fails to meet the global market demand caused by poor water quality due to cultivators’ lack of experience and education. Two parameters measured in water quality are temperature and pH. Thus, a device was made using IoT to maintain those conditions in order to increase the viability of the crayfish in the pond. The perceptron method is used to classify water quality based on those parameters. To send the data, ESP8266 is used as an intermediary for Arduino and cloud server. The result is that the information about the ponds’ condition can be seen via a smartphone. The method gives a value of 98.06% accurate in determining water quality.

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AquaMesh - Design and Implementation of Smart Wireless Mesh Sensor Networks for Aquaculture

Cited by 16 publications

References 8 publications

Wireless water quality monitoring system for high density aquaculture application

Wireless water quality monitoring system for high density aquaculture application

A Web based Observance and Alerting for Underground and Fish Pond Water Quality

Detection of water quality in crayfish ponds with IoT

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