Smart aquaponics: An innovative machine learning framework for fish farming optimization

Smart aquaponics: An innovative machine learning framework for fish farming optimization

<p>This study presents an innovative approach to aquaponics by integrating artificial intelligence (AI). The system addresses sustainability challenges by utilizing a novel approach to machine learning to create a fully sustainable system that improves nutrition and fish growth in aquaponics....

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Bibliographic Details
Main Author: Amith Khandakar (14151981) (author)
Other Authors: I.M. Elzein (19757043) (author), Md. Nahiduzzaman (17873875) (author), Mohamed Arselene Ayari (16869978) (author), Azad Ibn Ashraf (19757046) (author), Lino Korah (19757049) (author), Alhareth Zyoud (19757052) (author), Hassan Ali (3348749) (author), Ahmed Badawi (19757055) (author)
Published: 2024
Subjects:
Information and computing sciences
Distributed computing and systems software
Machine learning
Hydroponics
Aquaponics
Agricultural smart system
Internet of things
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