The principal component method is to recombine multiple correlated indexes into a group of non-correlated comprehensive indexes to replace the original indexes for evaluation. The paper took the test data of growth and development of Euproctis pseudoconspersa Strand as a basis and used the principal component analysis method to analyze and investigate the test data. The research results indicate that the principal component analysis method is a model with actual operation value and evaluation reliability. When the electromagnetic radiation is higher than 100 K, the growth and development indexes of E. pseudoconspersa Strand are correlated to electromagnetic radiation frequency to some extent.
Science and Technology Program of the Education Department of Shaanxi Province Government (16JK1158).
Corresponding author:Chunjiang SHUAI (1979-), male, P. R. China, associate professor, devoted to research about Electromagnetic biology. E-mail: email@example.com.