Design and development of an IoT-based intelligent water quality management system for aquaculture
Abstract Water quality is generally known to directly affect the health and growth rate of aquatic organisms and determines the success of any aquaculture fish production. However, water quality problems are difficult to detect early in aquaculture production facilities, largely because it requires...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2024-03-01
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Series: | Journal of Electrical Systems and Information Technology |
Subjects: | |
Online Access: | https://doi.org/10.1186/s43067-024-00139-z |