Predictive Analysis on Nutritional Disorders in Rice Plants using Regression

The study of the relation of meteorological factors on development of rice diseases has been in progress at the Central Rice Research Institute in respect of Nutrient Deficiency in rice plants. The data sets have been employed for regression Analysis for prediction of Nutritional Disorders and that leads to the analyzing the diseases based on symptoms according to the micro and macro nutritional deficiency. The Data Analysis tool has been used for the analysis of data. Here we are classifying the Nutritional Disorders which increases many Diseases according to the growth stages. The age group is in between of 1 to 125 days. The actual value and the critical values can be computed by using regression. The predictions are also been compared with the help of residual plots. The residual graphs have been correlated with the predictions. KeywordsGrowth Stage, Regression, Micro nutrients, Macro Nutrients, Critical Values, Residual Plots