Automated Monitoring System for the Fish Farm Aquaculture Environment

Chen, Jui-Ho; Sung, Wen‐Tsai; Lin, Guo-Yan

doi:10.1109/smc.2015.208

Cited by 79 publications

(32 citation statements)

References 3 publications

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“…An IoT implementation has also been conducted in the fish farming sector, not just for applying in the city. In this paper [10], an IoT intelligent system for fish farming was designed using four sensors, water temperature, pH, dissolved oxygen, and water level. The MSP430 series chip was used In this system.…”

Section: Related Workmentioning

confidence: 99%

Design and Development of Smart Aquaculture System Based on IFTTT Model and Cloud Integration

Dzulqornain¹,

Rasyid²,

Sukaridhoto³

2018

MATEC Web Conf.

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The internet of things technology (IoT) is growing very rapidly. IoT implementation has been conducted in several sectors. One of them is for aquaculture. For the traditional farmers, they face problems for monitoring water quality and the way to increase the quality of the water quickly and efficiently. This paper presents a real-time monitoring and controlling system for aquaculture based on If This Then That (IFTTT) model and cloud integration. This system was composed of smart sensor module which supports modularity, smart aeration system for controlling system, local network system, cloud computing system and client visualization data. In order to monitor the water condition, we collect the data from smart sensor module. Smart sensor module consists of sensor dissolved oxygen, potential of hydrogen, water temperature and water level. The components of smart aeration system are microcontroller NodeMCU v3, relay, power supply, and propeller that can produce oxygen. The system could set the IFTTT rules for the ideal water condition for the pond in any kinds of aquaculture based on its needs through the web and android application. The experimental result shows that use IFTTT model makes the aquaculture monitoring system more customizable, expandable and dynamic.

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Section: Related Workmentioning

confidence: 99%

Design and Development of Smart Aquaculture System Based on IFTTT Model and Cloud Integration

Dzulqornain¹,

Rasyid²,

Sukaridhoto³

2018

MATEC Web Conf.

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“…The proposed system does not support any control and optimization strategies. Chen et al developed an automated monitoring system for fish farm aquaculture environment using embedded micro-controller MSP430 with various sensors attached for water quality assessment [28]. User can remotely monitor and control the fish farm environment using their mobile device through android application.…”

Section: Related Workmentioning

confidence: 99%

An Optimization Scheme for Water Pump Control in Smart Fish Farm with Efficient Energy Consumption

Ullah

Kim

2018

Processes

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Healthy fish production requires intensive care and ensuring stable and healthy production environment inside the farm tank is a challenging task. An Internet of Things (IoT) based automated system is highly desirable that can continuously monitor the fish tanks with optimal resources utilization. Significant cost reduction can be achieved if farm equipment and water pumps are operated only when required using optimization schemes. In this paper, we present a general system design for smart fish farms. We have developed an optimization scheme for water pump control to maintain desired water level in fish tank with efficient energy consumption through appropriate selection of pumping flow rate and tank filling level. Proposed optimization scheme attempts to achieve a trade-off between pumping duration and flow rate through selection of optimized water level. Kalman filter algorithm is applied to remove error in sensor readings. We observed through simulation results that optimization scheme achieve significant reduction in energy consumption as compared to the two alternate schemes, i.e., pumping with maximum and minimum flow rates. Proposed system can help in collecting the data about the farm for long-term analysis and better decision making in future for efficient resource utilization and overall profit maximization.

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“…After that the management and the monitoring center will assess the water quality and detect real-time solution of water quality remotely. In [3] the system allows a user to monitor and control the aqua farm environmental data and using a mobile device. MCU processing is used to capture the physical sensing signal.…”

Section: Literature Reviewmentioning

confidence: 99%

Smart Aquaculture Using Data Mining

Prabhu¹

2018

IJRASET

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The common method of water quality testing is to collect samples manually and then send them to laboratory for analysis. However, it has been unable to meet the demands of water quality monitoring today. So, to overcome this problem we have made this system. Aquaculture is the breeding or farming of aquatic organisms in a climate-controlled environment. Aquaculture involves breeding freshwater populations under controlled and continuously monitored environment. Water quality is a crucial factor while breeding aquatic organisms. The System continuously monitors the quality of water with the help of various sensors. The sensed data is transferred to the cloud and then to the end user. The sensed data is viewed by the user with the help of an Android application and provide relevant suggestions to the user.

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Automated Monitoring System for the Fish Farm Aquaculture Environment

Cited by 79 publications

References 3 publications

Design and Development of Smart Aquaculture System Based on IFTTT Model and Cloud Integration

Design and Development of Smart Aquaculture System Based on IFTTT Model and Cloud Integration

An Optimization Scheme for Water Pump Control in Smart Fish Farm with Efficient Energy Consumption

Smart Aquaculture Using Data Mining

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