IoT-based machine learning comparative models of water quality prediction for freshwater lobster

Water quality parameters such as dissolved oxygen, potential hydrogen, and mineral content are important factors for aquaculture. Predictive analytics can predict water conditions in aquaculture and significantly reduce the mortality probability of aquaculture products. This paper applied predictive...

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Bibliographic Details

Main Authors:	Bakhit, Abdelmoneim Ahmed, Nur Syahirah, Mohd Sabli, Mohd Faizal, Jamlos, Mohd Aminudin, Jamlos, Nurhidayah Hidayah, Ramli, Muhammad Aqil, Hafizzan Nordin, Nura A., Alhaj, Ali, Ehtesham
Format:	Article
Language:	en en
Published:	Penerbit Akademia Baru 2024
Subjects:	QA75 Electronic computers. Computer science T Technology (General) TK Electrical engineering. Electronics Nuclear engineering
Online Access:	https://umpir.ump.edu.my/id/eprint/39293/1/IoT-based%20Machine%20Learning%20Comparative%20Models.pdf https://umpir.ump.edu.my/id/eprint/39293/7/IoT-based%20machine%20learning%20comparative%20models%20of%20water%20quality%20prediction.pdf https://doi.org/10.37934/aram.117.1.137149 https://umpir.ump.edu.my/id/eprint/39293/
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