Multivariate statistical wheat yield prediction model for Bilaspur district of Chhattisgarh

Abstract

Weather plays an important role in yield forecasting of agricultural crop. Weather affects crop growth at different phenological phases and is therefore, responsible for variation in yields from year-to-year and place-to-place. An attempt has been made in this paper to study the effect of vital weather parameters on wheat yield on basis of 15 years (2000-2015) weather data and wheat production and to develop a different type of multivariate statistical model for yield forecast of this region. Different types of models have been developed using SPSS software. Model 5 has the highest R2 value 0.97, which describes the 97% variability in wheat yield due to weather parameters.