A Machine-Learning-Based IoT System for Optimizing Nutrient Supply in Commercial Aquaponic Operations

Nutrient regulation in aquaponic environments has been a topic of research for many years. Most studies have focused on appropriate control of nutrients in an aquaponic set-up, but very little research has been conducted on commercial-scale applications. In our model, the input data were sourced on...

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Detalles Bibliográficos
Autores principales: Dhal, Sambandh Bhusan, Jungbluth, Kyle, Lin, Raymond, Sabahi, Seyed Pouyan, Bagavathiannan, Muthukumar, Braga-Neto, Ulisses, Kalafatis, Stavros
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9104751/
https://www.ncbi.nlm.nih.gov/pubmed/35591199
http://dx.doi.org/10.3390/s22093510

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9104751/
https://www.ncbi.nlm.nih.gov/pubmed/35591199
http://dx.doi.org/10.3390/s22093510

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