Fig. 1From: Predicting and optimizing reactive oxygen species metabolism in Punica granatum L. through machine learning: role of exogenous GABA on antioxidant enzyme activity under drought and salinity stressSchematic diagram of the step-by-step methodology used in this study including (a) measurement of physiochemical traits, b data modeling through artificial neural networks (ANN), random forest (RF), and support vector regression (SVR), and (c) main steps of optimization process of physiochemical traits through non-dominated sorting genetic algorithm-II (NSGA-II)Back to article page