Reduction of Environmental Parameters Using Principal Component and Factor Analysis

The output of any physical problem is likely to be dependent on huge number of parameters. But, many of them are not significant and some are highly correlated with other parameters. Same result can be produced by fewer parameters in stead of considering all parameters. In this paper, an algorithm has been proposed to reduce parameters based on principal component analysis and factor analysis. The algorithm has been applied to reduce the environment parameters which are needed for the healthy growth of mustard plant. It has been observed that the growth of mustard plant has not been disturbed if the significant environment parameters have been supplied sufficiently.