Vol. 6, Issue 6 (2018)
Multivariate statistical wheat yield prediction model for Bilaspur district of Chhattisgarh
Author(s): Anil Patel, Avinash Yadu, Shweta Gautam and Shraddha Rawat
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.
Pages: 2777-2781 | 312 Views 48 Downloads
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How to cite this article:
Anil Patel, Avinash Yadu, Shweta Gautam, Shraddha Rawat. Multivariate statistical wheat yield prediction model for Bilaspur district of Chhattisgarh. Int J Chem Stud 2018;6(6):2777-2781.
