An IoT-Based System for Water Quality Monitoring and Notification System of Aquaculture Prawn Pond

Adriman, Ramzi; Fitria, Maya; Afdhal, Afdhal; Fernanda, Alfy Yusyfa

doi:10.1109/comnetsat56033.2022.9994388

Cited by 11 publications

(9 citation statements)

References 10 publications

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“…All the sensors should meet the specific criteria for ocean measurements. To ensure this instrument can effectively operate over long periods, the sensors were chosen based on the previous developments by [ 28 , 37 ]. Most recent publications on the data collected from these sensors show that they meet the necessary quality and reliability standards for the intended purpose [ 18 ].…”

Section: Methodsmentioning

confidence: 99%

NOBEL-BOX: Development of a Low-Cost Ship-Based Instrument for Ocean Monitoring

Purba,

Faizal,

Martasuganda

et al. 2023

Sensors

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This research aims to develop an inexpensive ocean observation instrument with the project name NOBEL (Nusantara Oceanography Backdoor Experiment Laboratory)-BOX. The device can be installed on all types of vessels for mapping the water conditions, providing accurate data for managing a marine area, particularly regarding water quality. The principle of NOBEL-BOX is to attach six sensors in a container connected to a microcontroller and then measure specific data directly and automatically. The methodology employed included experimental design, laboratory and field tests, and data evaluation to develop the necessary system and instruments. The design process encompassed the construction of the instrument and the fabrication, involving the creation of three-dimensional drawings and the design of microcontrollers and data transmission systems and power capacity. This instrument is box-shaped with a microcontroller, sensors, a battery, and cables located inside. The testing phase included data validation, testing of the device in the laboratory, and field testing showed that the device worked. The data provided from this instrument could meet the specific criteria for seawater analysis.

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Section: Methodsmentioning

confidence: 99%

NOBEL-BOX: Development of a Low-Cost Ship-Based Instrument for Ocean Monitoring

Purba,

Faizal,

Martasuganda

et al. 2023

Sensors

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“…Regarding error analysis, Huan et al [18] point to a relative error of 0.21%, while the work of Nandakumar et al [26] indicate a relative error of 3.20% for the DFRobot SEN 0237-A sensor and Adriman et al [2] describe a relative error of 3.15% for an unidentified low-cost sensor. In this sense, it should be noted that the sensors tested in this work do not differ from the results presented in the literature.…”

Section: Experiments With Ph Sensorsmentioning

confidence: 99%

“…In the work of [7], a systematic review of the literature analyzed 142 papers to determine which LCS have been used for remote water quality monitoring and how they performed in the measurements. One of the findings was that only a few papers compared LCS with reference devices [2,6,18,28,30]. In most published work, the capabilities and limitations of the sensors have not been thoroughly investigated to ensure that they meet the data quality requirements for the intended applications.…”

Section: Introductionmentioning

confidence: 99%

A multi low-cost sensors analysis for remote and real-time water quality monitoring system

Slongo,

Lindino,

Martins

et al. 2024

Preprint

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Low-cost sensors integrated with the Internet of Things can enable real-time envi-ronmental monitoring networks and provide valuable water quality informationto the public. However, the accuracy and precision of the values measured bythe sensors are critical for widespread adoption. In this study, 19 different low-cost sensors, commonly found in the literature, from four different manufacturersare tested for measuring five water quality parameters: pH, dissolved oxygen,oxidation-reduction potential, turbidity, and temperature. The low-cost sensorsare evaluated for each parameter by calculating the error and precision com-pared to a typical multiparameter probe assumed as a reference. The comparisonwas performed in a controlled environment with simultaneous measurements ofreal water samples. The relative error ranged from -0.33 to 33.77% and most of them were ≤ 5%. The pH and temperature were the ones with the most accurate results. In conclusion, low-cost sensors are a complementary alternative toquickly detect changes in water quality parameters. Further studies are necessaryto establish a guideline for the operation and maintenance of low-cost sensors.

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“…Previous studies include the development of a water condition monitoring device for fish farming using Arduino [23], [24] through a web interface [25]- [29] Another study focused on monitoring shrimp pond water conditions using an Android mobile application [30]- [34] based on WSN [35]- [41]. Furthermore, research on monitoring temperature and pH levels in vannamei shrimp pond water [7] levels, and water height monitoring employed ultrasonic technology and the ESP32 microcontroller for data processing, with Wi-Fi technology for data transmission to a cloud server [6], [42]. Supporting studies encompass the application of IoT technology in agricultural waste management [43] and soil humidity monitoring in chili cultivation [44].…”

Section: Introductionmentioning

confidence: 99%

IoAT: Internet of Aquaculture Things for Monitoring Water Temperature in Tiger Shrimp Ponds with DS18B20 Sensors and WeMos D1 R2

Satra,

Hadi,

Sujito

et al. 2024

Journal of Robotics and Control

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Cultivation of tiger prawns stands as a crucial sector in Indonesia's fisheries industry, significantly contributing to the country's foreign exchange. However, challenges persist in the cultivation process, particularly concerning suboptimal harvest outcomes. A critical factor in tiger prawn cultivation is the water temperature within shrimp ponds, a parameter directly influencing shrimp growth. The recommended normal temperature range is 28-31°C. Deviations from this range can adversely impact the shrimp's metabolic system and appetite, resulting in stress and potential mortality. Temperature fluctuations can lead to severe issues such as hindered growth, reduced productivity, and increased shrimp mortality. Real-time monitoring of air temperature emerges as a pivotal element in ensuring the success of shrimp farming. This research aims to provide a practical solution for shrimp cultivation by presenting a system that enables farmers to adjust air temperature in ponds in real-time through a user-friendly website application. The ability to promptly respond to abnormal temperature fluctuations empowers farmers to optimize cultivation conditions, thereby reducing shrimp mortality rates. The research focuses on creating a water temperature monitoring system for tiger prawn ponds using cloud storage through the Firebase platform. By implementing real-time temperature monitoring, financial risks for shrimp farmers can be mitigated, preventing losses attributed to temperature-induced shrimp mortality. The research utilizes the DS18B20 temperature sensor and WeMos D1 R2 as the control center. The website displays air temperature measurements, showcasing a high accuracy of 99% with a minimal error of 1.2%. This underscores the system's effectiveness in measuring air temperature both above and below the pond. The incorporation of IoT technology for monitoring water quality in ponds offers a practical and innovative approach to tiger prawn cultivation, with the potential to enhance production outcomes in each harvest.

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An IoT-Based System for Water Quality Monitoring and Notification System of Aquaculture Prawn Pond

Cited by 11 publications

References 10 publications

NOBEL-BOX: Development of a Low-Cost Ship-Based Instrument for Ocean Monitoring

NOBEL-BOX: Development of a Low-Cost Ship-Based Instrument for Ocean Monitoring

A multi low-cost sensors analysis for remote and real-time water quality monitoring system

IoAT: Internet of Aquaculture Things for Monitoring Water Temperature in Tiger Shrimp Ponds with DS18B20 Sensors and WeMos D1 R2

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