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A decision support system for aquaponics prediction based on the intelligent Internet of Things
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https://doi.org/10.25381/cput.30529100
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posted on 2025-11-18, 07:38
authored by
Anila Mundackal
Anila Mundackal
<p>220635323/2022/12</p><p dir="ltr">Aquaponics plant and water quality data were collected and recorded from Johannesburg, South Africa. The plant type used for this study was leafy lettuce and fish in the tank was Mozambique Tilapia.</p>
Funding
Self
History
Is this dataset for graduation purposes?
Yes
Supervisor email address
wande.daramola@up.ac.za
Ethical reference number
220635323/2022/12
Sustainable Development Goals (SDGs)
2. Zero Hunger
3. Good Health and Well-being
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Categories
Neural networks
Keywords
Aquaponics
Aquaculture
Plant physiology
Water quality
Machine learning
Internet of things
Licence
CC BY-NC-SA 4.0
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