Water Quality Monitoring System for Fisheries using Internet of Things (IoT)

Ya’acob, Norsuzila; Dzulkefli, N.N.S.N.; Yusof, Azita Laily; Kassim, Murizah; Naim, Nani Fadzlina; Aris, Sulaiman

doi:10.1088/1757-899x/1176/1/012016

Cited by 14 publications

(7 citation statements)

References 5 publications

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“…Ya'acob et al, [8] discussed the implementation of IoT technology in fish ponds to monitor water quality and fish presence. The system employs pH and temperature sensors, an ultrasonic sensor for fish detection, NodeMCU ESP8266 as the central controller, and Wi-Fi for communication.…”

Section: The Concept Of Water Ph and Biological Functionsmentioning

confidence: 99%

Development of an IoT Based Water Quality Monitoring Device for Domestic Fish Ponds

Babalola,

Goroti

2024

AJERD

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This study focuses on developing an affordable IoT-based water quality monitoring system for domestic fish ponds. The system aims to enable remote monitoring of critical water parameters, offering real-time data access through mobile or web interfaces. It includes an alert system to notify the pond owners of any significant changes in water quality, allowing swift corrective action. The initiative stems from challenges faced by aquaculture farmers due to insufficient knowledge about water pH levels. Understanding pH's importance, especially within the optimal range of 6.5-9.0 for fish culture, is crucial for success. Tests conducted on the system's performance in detecting various pH levels across different pond environments demonstrated its reliability in identifying low and normal pH levels. However, anomalies were observed in detecting higher pH levels, indicating potential sensitivity limitations that need further investigation for system refinement. While the system excelled in detecting low and normal pH levels accurately, improvements are required for detecting higher pH thresholds to ensure comprehensive monitoring across diverse water conditions. This enhancement is crucial for effective fish pond management and reducing losses for aquaculture farmers.

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Section: The Concept Of Water Ph and Biological Functionsmentioning

confidence: 99%

Development of an IoT Based Water Quality Monitoring Device for Domestic Fish Ponds

Babalola,

Goroti

2024

AJERD

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“…Webcam digunakan untuk memantau kondisi di dalam akuarium [8]. Perancangan Automatic Fish Feeder Skala Akuarium Berbasis Internet of Things (IoT) [9], Penelitian ini bertujuan untuk merancang alat pemberi pakan ikan otomatis dengan menggunakan modul ESP8266 dan sensor ultrasonik HC SR04 [10]. Sistem ini dirancang untuk memantau stok pakan dan memberikan notif ikasi kepada pengguna.…”

Section: Pendahuluanunclassified

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Yazid,

Febriliana

2024

JLK

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The ESP32 module will be used in this research to build an automatic monitoring and control mechanism for the aquarium. The creation of an automatic feeding device that can increase the productivity of fish farming is the main goal. In addition, this research places focus on IoT-based aquarium monitoring and control. The water level is monitored using a JSN-SR04t ultrasonic sensor, while the water temperature is monitored using a DS18B20 sensor. The Blynk app can be used with these gadgets to monitor and regulate the condition of the aquarium, including regulating the water temperature and water level automatically. This study makes a significant contribution to the advancement of automation technology as well as the improvement of aquarium administration and maintenance. The system was tested to ensure that all its functions were working correctly. These tests include, Measurement of water temperature and water level, automatic fish feeding, control of pumps and lights, monitoring and setting aquarium conditions through the Blynk application. All system functions work correctly, the system can measure water temperature with an accuracy of 96.74%, measure water level with an accuracy of 95.39%, feed fish at the time specif ied by the user. control pumps and lights according to the settings, monitor and manage aquarium conditions through the Blynk application. The automatic aquarium monitoring and control system was 100% s uccessful in functional testing.

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“…Calculating the exact volume of water in the pond is critical since it will determine the sort of filter, pump, and treatment that will be necessary to maintain the water and ecosystem for fish culture [32,33].…”

Section: Mathematical Formulationmentioning

confidence: 99%