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IoT-Enabled Real-Time Monitoring and Disease Prediction System for Sustainable Aquaculture

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Bibliographic Details
Published in:IEEE Access
Format: Online Article RSS Article
Published: 2026
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container_title IEEE Access
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discipline_display Engineering & Technology
discipline_facet Engineering & Technology
format Online Article
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genre Journal Article
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institution FRELIP
journal_source_facet IEEE Access
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle IoT-Enabled Real-Time Monitoring and Disease Prediction System for Sustainable Aquaculture
Computer Science & Information Science
Computer Science & IT
Engineering & Technology
sub_discipline_display Computer Science & IT
sub_discipline_facet Computer Science & IT
subject_display Computer Science & Information Science
Computer Science & IT
Engineering & Technology
Computer Science & Information Science
Computer Science & IT
Engineering & Technology
subject_facet Computer Science & Information Science
Computer Science & IT
Engineering & Technology
title IoT-Enabled Real-Time Monitoring and Disease Prediction System for Sustainable Aquaculture
title_auth IoT-Enabled Real-Time Monitoring and Disease Prediction System for Sustainable Aquaculture
title_full IoT-Enabled Real-Time Monitoring and Disease Prediction System for Sustainable Aquaculture
title_fullStr IoT-Enabled Real-Time Monitoring and Disease Prediction System for Sustainable Aquaculture
title_full_unstemmed IoT-Enabled Real-Time Monitoring and Disease Prediction System for Sustainable Aquaculture
title_short IoT-Enabled Real-Time Monitoring and Disease Prediction System for Sustainable Aquaculture
title_sort iot-enabled real-time monitoring and disease prediction system for sustainable aquaculture
topic Computer Science & Information Science
Computer Science & IT
Engineering & Technology
url http://ieeexplore.ieee.org/document/11414229