IoT-based Machine Learning Comparative Models of Stream Water Parameters Forecasting for Freshwater Lobster

IoT-based Machine Learning Comparative Models of Stream Water Parameters Forecasting for Freshwater Lobster

Water quality parameters such as dissolved oxygen, pH, 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 stream predictive analytic...

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Bibliographic Details
Main Authors: Bakhit, Abdelmoneim Ahmed, Nur Syahirah, Mohd Sabli, Mohd Faizal, Jamlos, Mohd Aminudin, Jamlos, N. H., Ramli, Muhammad Aqil, Hafizzan Nordin, Alhaj, Nura Abdalrhman, Ali, Ehtesham
Format: Article
Language:English
Published: Semarak Ilmu Publishing 2024
Subjects:
T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/41682/
http://umpir.ump.edu.my/id/eprint/41682/1/IoT-based%20Machine%20Learning%20Comparative%20Models%20of%20Stream%20Water%20Parameters%20Forec.pdf

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