Review Article

Imperative Role of Automation and Wireless Technologies in Aquaponics Farming

Table 4

ML model implementation in the aquaponics system [72].

ModelPurposeApplication

SVMRegression classification, supervised ML, and pattern analysisMembrane-process parameter modeling, biological oxygen demand, dissolved oxygen modeling of rivers, aquaponics growth rate modeling
RFRegression, classification, supervised MLAdsorption process percent removal modeling, simple and hybrid dissolved oxygen modeling
k-NNClassification, supervised MLClassification of aquaponics growth phase
ANNRegression, classification, supervised MLChlorine dosage/set-point, membrane-process parameter modeling and dissolved-oxygen concentration modeling
HWRegression, ML modelDissolved-oxygen concentration
CNNRegression, classification, supervised ML, segmentationDBP formation modeling
RBFRegression, classification, ML functionMembrane-process parameter modeling, the adsorption process removal efficiency, and DBP formation modeling
RNNRegression, classification, supervised MLSuitable for time-series datasets and modeling, membrane-process parameter modeling, dissolve oxygen concentration modeling