Remote Multisensor System for Environmental Quality Monitoring Applications (Water and Air) in Internet of Things-Based Aquaculture Environments
Keywords:
Multisensor System, Water Quality Monitoring, Internet of Things, AquacultureAbstract
Water quality monitoring in the aquaculture environment is often carried out by cultivators of aquatic organisms in order to monitor the health and suitability of the water. The usual way is done by laboratory tests that take a long time. In the last decade, researchers have developed water quality monitoring systems in aquaculture environments by utilizing sensors and other electronic devices to quickly determine water quality. A water quality monitoring system has been developed in aquaculture environment using PT-100 sensor, DHT-22 sensor, TDS sensor and turbidity sensor. Each sensor is connected to the ATmega328p microcontroller to be able to transmit water quality readings. The atmega328p microcontroller is connected to the Raspberry pi gateway to be able to transmit reading data to the internet network using the MQTT protocol. The MQTT protocol allows telemetry systems to transmit data quickly and in real time. The reading data can be displayed on a website page that can be accessed using the internet network in real time and can be accessed within a distance of more than 1,000 km from the monitoring site.
References
Abdulmutalib Raafat Sarhat, Muhammad Mohsin, and Aram Hassan Mohammed, “Investigation of Groundwater Quality for Drinking Usage in Kifri District (Iraq) by using NPI and WQI Indices,” Proc. Pakistan Acad. Sci. A. Phys. Comput. Sci., vol. 59, no. 4, pp. 67–77, Dec. 2022.
J. YI and Q. XU, “Study on the relationship between landscape pattern and water quality in Qingshanzui Reservoir District,” in Proceedings of the 2021 4th International Conference on E-Business, Information Management and Computer Science, 2021, pp. 144–149.
H. C. da Costa et al., “Chemometrics Applied in the Development of a Water Quality Indicator System for the Brazilian Amazon,” ACS Omega, vol. 5, no. 51, pp. 32899–32906, Dec. 2020.
D. Hooda and R. Rani, “An interval type‐2 fuzzy ontological model: Predicting water quality from sensory data,” Concurr. Comput. Pract. Exp., vol. 34, no. 28, Dec. 2022.
A. Czajkowska and Ł. Gawor, “Variabilities of Surface Water Quality of Degraded Post-mining Areas in Bytom,” Rocz. Ochr. Środowiska, vol. 23, pp. 318–331, 2021.
J. Chen, D. Zhang, S. Yang, and Y. A. Nanehkaran, “Intelligent monitoring method of water quality based on image processing and RVFL‐GMDH model,” IET Image Process., vol. 14, no. 17, pp. 4646–4656, Dec. 2020.
V. H. Resh and P. K. Mendez, “Museum records of California Trichoptera: potentially useful information to provide larval-adult associations for improving water quality surveys,” Pan-Pac. Entomol., vol. 98, no. 4, Dec. 2022.
B. Waligórski and E. Janicka, “The Influence of the Przebędowo Reservoir on the Water Quality of the Trojanka River in the First Years of its Functioning,” Rocz. Ochr. Środowiska, vol. 23, pp. 151–167, 2021.
V. H. Alves Ribeiro, S. Moritz, F. Rehbach, and G. Reynoso-Meza, “A novel dynamic multi-criteria ensemble selection mechanism applied to drinking wacater quality anomaly detection,” Sci. Total Environ., vol. 749, p. 142368, Dec. 2020.
O. S. Daramola, W. G. Johnson, D. L. Jordan, G. S. Chahal, and P. Devkota, “Spray water quality and herbicide performance: a review,” Weed Technol., vol. 36, no. 6, pp. 758–767, Dec. 2022.
C. Matovelle, “Páramo to Pasture Conversion in a Mountain Watershed: Effects on Water Quality and Quantity,” Mt. Res. Dev., vol. 41, no. 4, Dec. 2021.
M. Mokarram, A. Saber, and V. Sheykhi, “Effects of heavy metal contamination on river water quality due to release of industrial effluents,” J. Clean. Prod., vol. 277, p. 123380, Dec. 2020.
S. Åkerblom, C. Zdanowicz, A. Campeau, A. L. Soerensen, and J. Hewitt, “Spatial and temporal variations in riverine mercury in the Mackenzie River Basin, Canada, from community-based water quality monitoring data,” Sci. Total Environ., vol. 853, p. 158674, Dec. 2022.
G. Fattah, F. Ghrissi, J. Mabrouki, and N. Al-Jadabi, “MODELING AND ASSESSMENT OF THE IMPACT OF LAND USE IN THE WESTERN RIF REGION, MOROCCO, ON WATER QUALITY,” Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci., vol. XLVI-4/W5-, pp. 225–230, Dec. 2021.
S. Ravish, B. Setia, and S. Deswal, “Monitoring of pre- and post-monsoon groundwater quality of north-eastern Haryana region using GIS,” Environ. Technol., vol. 41, no. 28, pp. 3695–3721, Dec. 2020.
C. Rodero, R. Bardaji, E. Olmedo, and J. Piera, “Operational monitoring of water quality with a Do-It-Yourself modular instrument,” Front. Mar. Sci., vol. 9, Dec. 2022.
H. Khan, M. N. Khan, M. Sirajuddin, S. M. Salman, and M. Bilal, “Assessment of Drinking Water Quality of Different Areas in Tehsil Isa Khel, Mianwali, Punjab, Pakistan,” Pakistan J. Anal. Environ. Chem., vol. 22, no. 2, pp. 376–387, Dec. 2021.
J. Solakian, V. Maggioni, and A. N. Godrej, “On the Performance of Satellite-Based Precipitation Products in Simulating Streamflow and Water Quality During Hydrometeorological Extremes,” Front. Environ. Sci., vol. 8, Dec. 2020.
C. Yang, L. Zheng, Z. Zhang, and M. Feng, “Study on water quality simulation and dynamic water environment capacity of Helan County section of the third drainage ditch in Ningxia,” Front. Ecol. Evol., vol. 10, Dec. 2022.
A. Das Gupta, Z. Sadek, M. H. R. Bhuiyan, M. G. Kibria, T. R. Toha, and S. M. M. Alam, “A Low-Cost IoT Based Automatic Water Quality Monitoring System for Textile Industry,” in 8th International Conference on Networking, Systems and Security, 2021, pp. 65–76.
L. Tian, X. Zhu, L. Wang, P. Du, F. Peng, and Q. Pang, “Long-term trends in water quality and influence of water recharge and climate on the water quality of brackish-water lakes: A case study of Shahu Lake,” J. Environ. Manage., vol. 276, p. 111290, Dec. 2020.
Z. Li, Q. Yang, C. Xie, H. Wang, and Y. Wang, “Spatiotemporal characteristics of groundwater quality and health risk assessment in Jinghe River Basin, Chinese Loess Plateau,” Ecotoxicol. Environ. Saf., vol. 248, p. 114278, Dec. 2022.
F. Bioresita, M. H. Ummah, M. Wulansari, and N. A. Putri, “Monitoring Seawater Quality in the Kali Porong Estuary as an Area for Lapindo Mud Disposal leveraging Google Earth Engine,” IOP Conf. Ser. Earth Environ. Sci., vol. 936, no. 1, p. 012011, Dec. 2021.
W. Liu et al., “Characterizing the water quality and microbial communities in different zones of a recirculating aquaculture system using biofloc biofilters,” Aquaculture, vol. 529, p. 735624, Dec. 2020.
V. Pillay and B. Moodley, “Assessment of the impact of reforestation on soil, riparian sediment and river water quality based on polyaromatic hydrocarbon pollutants,” J. Environ. Manage., vol. 324, p. 116331, Dec. 2022.
Z. Yang et al., “Effect of different fish feeds on water quality and growth of crucian carp (Carassius carassius) in the presence and absence of prometryn,” Ecotoxicol. Environ. Saf., vol. 227, p. 112914, Dec. 2021.
D. Benchamin, R. Sreejai, and B. S. Kurup, “Effect of Water Quality on Caddisflies (Trichoptera) in Kallada River, Kerala, India,” Curr. Sci., vol. 119, no. 11, p. 1845, Dec. 2020.
D. M. Ferreira and C. V. S. Fernandes, “Integrated water quality modeling in a river-reservoir system to support watershed management,” J. Environ. Manage., vol. 324, p. 116447, Dec. 2022.
Y. Ni, N. Xie, G. Yang, and W. Chen, “Development of Water Quality Discrimination System for Water Color Image Based on LM Neural Network Optimization Algorithm,” in 2021 International Conference on Aviation Safety and Information Technology, 2021, pp. 578–582.
F. Esmaeilbeiki, M. R. Nikpour, V. K. Singh, O. Kisi, P. Sihag, and H. Sanikhani, “Exploring the application of soft computing techniques for spatial evaluation of groundwater quality variables,” J. Clean. Prod., vol. 276, p. 124206, Dec. 2020.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Muhammad Iqbal
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
