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Comparison of classification accuracies of random frog (RF), sequential forward selection (SFS), and Monte Carlo of uninformative variables elimination method (MC-UVE) using (A) partial least squares discriminant analysis (PLS-DA) and (B) support vector machine (SVM) classifiers for the classification of healthy, HLB infected, and nutrient deficient leaves.
