A comprehensive review of sensor-based and spectroscopy-based systems for monitoring water quality in freshwater aquaculture system
Ensuring precise water conditions is essential for the economic viability and preservation of aquatic resources in aquaculture, necessitating effective water quality monitoring systems. This research work investigates and reviews water quality monitoring systems for freshwater aquaculture, focusing...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
Penerbit Akademia Baru
2024
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/40557/ http://umpir.ump.edu.my/id/eprint/40557/1/A%20Comprehensive%20Review%20of%20Sensor-based%20and%20Spectroscopy-based.pdf http://umpir.ump.edu.my/id/eprint/40557/7/A%20Comprehensive%20Review%20of%20Sensor-Based%20and%20Spectroscopy-Based%20Systems.pdf |
| _version_ | 1848826082323595264 |
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| author | Ali, Ehtesham Mohd Faizal, Jamlos Raypah, Muna E. Mas Ira Syafila, Mohd Hilmi Tan Bakhit, Abdelmoneim A. Muhammad Aqil Hafizzan, Nordin Mohd Aminudin, Jamlos Rashidah, Che Yob Agus, Nugroho |
| author_facet | Ali, Ehtesham Mohd Faizal, Jamlos Raypah, Muna E. Mas Ira Syafila, Mohd Hilmi Tan Bakhit, Abdelmoneim A. Muhammad Aqil Hafizzan, Nordin Mohd Aminudin, Jamlos Rashidah, Che Yob Agus, Nugroho |
| author_sort | Ali, Ehtesham |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | Ensuring precise water conditions is essential for the economic viability and preservation of aquatic resources in aquaculture, necessitating effective water quality monitoring systems. This research work investigates and reviews water quality monitoring systems for freshwater aquaculture, focusing on electronic sensor-based and spectroscopy-based methods through a comparative analysis. The review categorizes and evaluates machine learning (ML)-based sensor and spectroscopy methods, emphasizing the performance of sensitive spectral bands linked to diverse water quality parameters. Furthermore, the research examines the efficiency and accuracy of water quality parameters in ML-based water quality monitoring systems for freshwater aquaculture. Comparative findings indicate that ML-based sensor methods exhibit superior quality, versatility, and performance, capitalizing on their ability to exploit unique spectral features. The discussion encompasses challenges and issues faced by ML-based water quality monitoring systems in freshwater aquaculture, providing insights into their future perspectives. This comprehensive investigation contributes valuable insights into the intricate relationship between sensing technologies, machine learning, and water quality monitoring in the context of freshwater aquaculture. It serves as a resource for stakeholders, researchers, and policymakers navigating the challenges of improving aquaculture practices while addressing environmental considerations. |
| first_indexed | 2025-11-15T03:39:10Z |
| format | Article |
| id | ump-40557 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T03:39:10Z |
| publishDate | 2024 |
| publisher | Penerbit Akademia Baru |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-405572024-10-14T00:21:40Z http://umpir.ump.edu.my/id/eprint/40557/ A comprehensive review of sensor-based and spectroscopy-based systems for monitoring water quality in freshwater aquaculture system Ali, Ehtesham Mohd Faizal, Jamlos Raypah, Muna E. Mas Ira Syafila, Mohd Hilmi Tan Bakhit, Abdelmoneim A. Muhammad Aqil Hafizzan, Nordin Mohd Aminudin, Jamlos Rashidah, Che Yob Agus, Nugroho TK Electrical engineering. Electronics Nuclear engineering Ensuring precise water conditions is essential for the economic viability and preservation of aquatic resources in aquaculture, necessitating effective water quality monitoring systems. This research work investigates and reviews water quality monitoring systems for freshwater aquaculture, focusing on electronic sensor-based and spectroscopy-based methods through a comparative analysis. The review categorizes and evaluates machine learning (ML)-based sensor and spectroscopy methods, emphasizing the performance of sensitive spectral bands linked to diverse water quality parameters. Furthermore, the research examines the efficiency and accuracy of water quality parameters in ML-based water quality monitoring systems for freshwater aquaculture. Comparative findings indicate that ML-based sensor methods exhibit superior quality, versatility, and performance, capitalizing on their ability to exploit unique spectral features. The discussion encompasses challenges and issues faced by ML-based water quality monitoring systems in freshwater aquaculture, providing insights into their future perspectives. This comprehensive investigation contributes valuable insights into the intricate relationship between sensing technologies, machine learning, and water quality monitoring in the context of freshwater aquaculture. It serves as a resource for stakeholders, researchers, and policymakers navigating the challenges of improving aquaculture practices while addressing environmental considerations. Penerbit Akademia Baru 2024-10-08 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/40557/1/A%20Comprehensive%20Review%20of%20Sensor-based%20and%20Spectroscopy-based.pdf pdf en cc_by_nc_4 http://umpir.ump.edu.my/id/eprint/40557/7/A%20Comprehensive%20Review%20of%20Sensor-Based%20and%20Spectroscopy-Based%20Systems.pdf Ali, Ehtesham and Mohd Faizal, Jamlos and Raypah, Muna E. and Mas Ira Syafila, Mohd Hilmi Tan and Bakhit, Abdelmoneim A. and Muhammad Aqil Hafizzan, Nordin and Mohd Aminudin, Jamlos and Rashidah, Che Yob and Agus, Nugroho (2024) A comprehensive review of sensor-based and spectroscopy-based systems for monitoring water quality in freshwater aquaculture system. Journal of Advanced Research in Applied Sciences and Engineering Technology, 56 (1). pp. 248-265. ISSN 2462-1943. (Published) https://doi.org/10.37934/araset.56.1.248265 https://doi.org/10.37934/araset.56.1.248265 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Ali, Ehtesham Mohd Faizal, Jamlos Raypah, Muna E. Mas Ira Syafila, Mohd Hilmi Tan Bakhit, Abdelmoneim A. Muhammad Aqil Hafizzan, Nordin Mohd Aminudin, Jamlos Rashidah, Che Yob Agus, Nugroho A comprehensive review of sensor-based and spectroscopy-based systems for monitoring water quality in freshwater aquaculture system |
| title | A comprehensive review of sensor-based and spectroscopy-based systems for monitoring water quality in freshwater aquaculture system |
| title_full | A comprehensive review of sensor-based and spectroscopy-based systems for monitoring water quality in freshwater aquaculture system |
| title_fullStr | A comprehensive review of sensor-based and spectroscopy-based systems for monitoring water quality in freshwater aquaculture system |
| title_full_unstemmed | A comprehensive review of sensor-based and spectroscopy-based systems for monitoring water quality in freshwater aquaculture system |
| title_short | A comprehensive review of sensor-based and spectroscopy-based systems for monitoring water quality in freshwater aquaculture system |
| title_sort | comprehensive review of sensor-based and spectroscopy-based systems for monitoring water quality in freshwater aquaculture system |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/40557/ http://umpir.ump.edu.my/id/eprint/40557/ http://umpir.ump.edu.my/id/eprint/40557/ http://umpir.ump.edu.my/id/eprint/40557/1/A%20Comprehensive%20Review%20of%20Sensor-based%20and%20Spectroscopy-based.pdf http://umpir.ump.edu.my/id/eprint/40557/7/A%20Comprehensive%20Review%20of%20Sensor-Based%20and%20Spectroscopy-Based%20Systems.pdf |