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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Hlavní autoři:	Sambandh Bhusan Dhal, Kyle Jungbluth, Raymond Lin, Seyed Pouyan Sabahi, Muthukumar Bagavathiannan, Ulisses Braga-Neto, Stavros Kalafatis
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2022-05-01
Edice:	Sensors
Témata:	aquaponic pairwise correlation matrix XGBoost Recursive Feature Elimination ExtraTreesClassifier median
On-line přístup:	https://www.mdpi.com/1424-8220/22/9/3510
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