Development of multivariate statistical Rice yield prediction model for Raipur district

Abstract

The farmers profit is decided by the weather and climatic conditions, climate determines what crops the farmers can grow and weather influences the yield. An attempt has been made in this paper to study the effect of vital weather parameters on Rice yield and to develop a multivariate statistical model for yield forecast of Raipur district Chhattisgarh. On basis of 15 years (2000-2015) weather and rice production 4 types of models have been developed using SPSS software. Result revealed that model 4 was the highest R2 value 0.97, which describes the 97% variability in rice yield due to weather parameters i.e. maximum temperature of 1st week after sowing, minimum temperature of 13th week after sowing, minimum temperature of 2nd week and maximum temperature of 5th week after sowing. This may be due to more weather factors involved in the Model 4, instead of any other models.