An Optimal Internet of Things-Driven Intelligent Decision-Making System for Real-Time Fishpond Water Quality Monitoring and Species Survival

An Optimal Internet of Things-Driven Intelligent Decision-Making System for Real-Time Fishpond Water Quality Monitoring and Species Survival

Smart fish farming faces critical challenges in achieving comprehensive automation, real-time decision-making, and adaptability to diverse environmental conditions and multi-species aquaculture. This study presents a novel Internet of Things (IoT)-driven intelligent decision-making system that dynam...

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Bibliographic Details
Main Authors: Saima Kanwal, Muhammad Abdullah, Sahil Kumar, Saqib Arshad, Muhammad Shahroz, Dawei Zhang, Dileep Kumar
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Sensors
Subjects:
fishpond
IoT cloud platform
machine learning
sensors
water quality parameters
climate-induced variability
Online Access:https://www.mdpi.com/1424-8220/24/23/7842
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