Water Quality Monitoring and Control for Aquaculture Based on Wireless Sensor Networks

Simbeye, Daudi Samson; Yang, Shi Feng

doi:10.4304/jnw.9.4.840-849

Cited by 82 publications

(62 citation statements)

References 10 publications

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“…Shareef et al presented an IoT based decision support system for real time monitoring of fish ponds using wireless sensor network to measure physio-chemical properties of water and notify user via smart phone [23]. Daudi et al developed a monitoring system for aquaculture based on wireless sensor networks to control water quality [24,25]. Various water parameters, e.g., temperature, oxygen, pH and water level, are collected via sensors and communicated to main server via ZigBee protocol.…”

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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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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“…Both methods have a disadvantage of being impractical, labor expensive, and highly subjected to human error. In addition, it lacks of sufficient data collection capability,which is important for future prediction and study of the water quality characteristics in the area of the aquaculture [7,8].…”

Section: Introductionmentioning

confidence: 99%

“…To address the above problems, online water quality monitoring systems have been designed and implemented in several shrimp aquaculture centers in Indonesia.Compared with previous works conducted in China [7], India [10], and Malaysia [11], this system allows not only remote data collection,but also automation by which aeration is performed only when the DO value dropped below a certain threshold value.Also, some of the implemented system covered only a short distance wireless data communication (several hundred meters) [12], thus it lacks of the potential for global data collection.…”

Section: Introductionmentioning

confidence: 99%

Integrated online water quality monitoring

Wiranto

Maulana

Hermida

et al. 2015

2015 International Conference on Smart Sensors and Application (ICSSA)

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In this paper the design and realisation of an integrated online water quality monitoring system will be described. The system has been applied specifically to monitor the DO (Dissolved Oxygen) and pH parameters in several shrimp aquaculture centersin Indonesia.The aim was to reduce energy consumption and to create optimumwater condition for the shrimp aquaculture.Using an automatic aeration system, the DO value has been maintained above 5 mg/l.On the other hand, data collected from the sensor measurements at each aquaculture can be accessed by SMS gateway or transmitted to the master station using telemetric system for further analysis or study.

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“…River monitoring, marine, aquaculture, agriculture, and mining are among the areas where online water quality monitoring have been widely implemented [1][2][3][4]. Sensors employed in such application thus need to be compact, rugged and robust to withstand harse environmental condition.…”

Section: Introductionmentioning

confidence: 99%

Design and Fabrication of Low Cost Thick Film pH Sensor using Silver Chlorinated Reference Electrodes with Integrated Temperature Sensor

Wiranto

Idayanti

Tayubi

et al. 2016

MATEC Web of Conferences

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Abstract. This paper describes the design and fabrication of thick film pH sensor, in which the reference electrode has been formed by chlorination of Ag using FeCl3. The process was aimed to replace Ag/AgCl paste commonly used as reference electrodes. Fabricated using thick film screen printing technology on Al2O3 substrate, the pH sensor showed a measured sensitivity of -52.97, -53.17 and -53.68 mV/pH at 25 o C, 45 o C, and 65 o C, respectively. The measured values were close to the theoretical Nernstian slope of -59 mV/pH 25 o C.The sensor was also designed with an integrated Ruthenium based temperature sensor for future temperature compensation. The measured resistance temperature characteristics showed a linear reasponse over the range of 25 -80 o C. This miniaturised planar sensor should find wide application, especially in field water quality monitoring, replacing their glass type counterparts.

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Water Quality Monitoring and Control for Aquaculture Based on Wireless Sensor Networks

Cited by 82 publications

References 10 publications

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

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

Integrated online water quality monitoring

Design and Fabrication of Low Cost Thick Film pH Sensor using Silver Chlorinated Reference Electrodes with Integrated Temperature Sensor

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