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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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Principais autores: Sambandh Bhusan Dhal, Kyle Jungbluth, Raymond Lin, Seyed Pouyan Sabahi, Muthukumar Bagavathiannan, Ulisses Braga-Neto, Stavros Kalafatis
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2022-05-01
Serier:Sensors
Fag:
aquaponic
pairwise correlation matrix
XGBoost
Recursive Feature Elimination
ExtraTreesClassifier
median
Online adgang:https://www.mdpi.com/1424-8220/22/9/3510
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