156 features including color,
shape and texture features of each pest are extracted into
a SVM classifier with radial basis kernel function. The 7-
fold cross-validation is used to improve the accuracy rate
of identification. We tested 4 species from rice Lepidoptera
pests and achieved 97.5% average identification rate.