Investigation on Water Quality for Farmed Aquatic Species by IoT Monitoring System DOI Creative Commons

Syazwan Izharuddin Mohamad Sabri,

Norazlianie Sazali, Ahmad Shahir Jamaludin

et al.

Journal of Advanced Research in Applied Sciences and Engineering Technology, Journal Year: 2023, Volume and Issue: 31(3), P. 317 - 327

Published: Aug. 4, 2023

The objective of this research is to optimize fish growth in super-intensive aquaculture systems by addressing water quality issues. Changes parameters can significantly impact and even lead mortality. To overcome problem, real-time monitoring crucial, the data should be automatically transmitted entrepreneur through Internet Things (IoT). This allows owner access remotely, eliminating need physically present at cage. By on a smartphone, efficiently manage quality. In study, system utilizing temperature, pH, ESP32, with parameter values displayed Blynk platform was developed. successfully measures conditions transmits application. test results demonstrate system's capability receive send data, but further analysis needed evaluate accuracy reliability measurements identify any noteworthy findings.

Language: Английский

Development of a Hybrid Energy-Powered IoT-Based Monitoring and Control System for Smart Fish Farming DOI Open Access
Fitri Wibowo,

Ika Meidy Deviarni,

Nabila

et al.

IOP Conference Series Earth and Environmental Science, Journal Year: 2025, Volume and Issue: 1446(1), P. 012049 - 012049

Published: Jan. 1, 2025

Abstract Fish farming plays an important role in aquaculture as water quality is a crucial factor :ish health and growth. This article presents the design development of Internet Things (IoT)-based Smart Farming (SHIFA) system that automates monitoring control key parameters such pH, temperature turbidity. The powered by hybrid energy sources integrates both PLN (the national electricity grid) solar to ensure continuous operation even during power outages. SHIFA consists sensors connected ESP32 microcontroller collects data real time. processed displayed through Home Assistant platform, enabling remote automated actions, including circulation aeration, maintain optimal quality. Additionally, offers user-friendly web interface for access control. demonstrated sensor accuracy 98% 97% 95% turbidity measurements, ensuring precise parameters. level expected increase efficiency sustainability farms reducing manual intervention optimizing resource utilization intelligent automation.

Language: Английский

Citations

0
Iot-Based Smart System for Sustainable Monitoring of Water Quality in Fishponds DOI
MA Awal,

Mushfaka Jannat Mim,

A. Pío

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0
Charting the aquaculture internet of things impact: Key applications, challenges, and future trend DOI Creative Commons
Ahmad Fikri Abdullah, Hasfalina Che Man, Mohammed Abdulsalam

et al.

Aquaculture Reports, Journal Year: 2024, Volume and Issue: 39, P. 102358 - 102358

Published: Sept. 20, 2024

Language: Английский

Citations

3
Investigation on Water Quality for Farmed Aquatic Species by IoT Monitoring System DOI Creative Commons

Syazwan Izharuddin Mohamad Sabri,

Norazlianie Sazali, Ahmad Shahir Jamaludin

et al.

Journal of Advanced Research in Applied Sciences and Engineering Technology, Journal Year: 2023, Volume and Issue: 31(3), P. 317 - 327

Published: Aug. 4, 2023

The objective of this research is to optimize fish growth in super-intensive aquaculture systems by addressing water quality issues. Changes parameters can significantly impact and even lead mortality. To overcome problem, real-time monitoring crucial, the data should be automatically transmitted entrepreneur through Internet Things (IoT). This allows owner access remotely, eliminating need physically present at cage. By on a smartphone, efficiently manage quality. In study, system utilizing temperature, pH, ESP32, with parameter values displayed Blynk platform was developed. successfully measures conditions transmits application. test results demonstrate system's capability receive send data, but further analysis needed evaluate accuracy reliability measurements identify any noteworthy findings.

Language: Английский

Citations

3