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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2019)
[Effective from January 1, 2019]
For more details click here

ICV 2017: 100.00
Index Copernicus ICI Journals Master List 2017 - IJCMAS--ICV 2017: 100.00
For more details click here

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Original Research Articles

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcmas@gmail.com / submit@ijcmas.com
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2017: 100.00
NAAS RATING 2018: 5.38

Int.J.Curr.Microbiol.App.Sci.2018.7(12): 2973-2978
DOI: https://doi.org/10.20546/ijcmas.2018.712.340


Development of Weather Based Wheat Yield Forecast Models in Haryana
Sanjeev, Puneet Verma and Urmil Verma*
*Department of Mathematics & Statistics, CCS Haryana Agricultural University, Hisar-125004, India
*Corresponding author
Abstract:

Parameter estimation in statistical modelling plays a crucial role in the real world phenomena. Several alternative analyses may be required for the purpose. An attempt has been made in this paper to estimate the yield of wheat crop using principal components of the weather parameters spread over the crop growth period. Principal component analysis has been used for the purpose of developing zonal yield forecast models because of multicollinearity present among weather variables. The results indicate the possibility of district-level wheat yield prediction, 4-5 weeks ahead of the harvest time in Haryana, India. Zonal weather models had the desired predictive accuracy and provided considerable improvement in the district-level wheat yield estimates. The estimated yield(s) from the selected models indicated good agreement with State Department of Agriculture (DOA) wheat yield(s) in most of the districts.


Keywords: Linear time trend, Eigen value, Eigen vector, Weather variables, Multicollinearity, Principal component score
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How to cite this article:

Sanjeev, Puneet Verma and Urmil Verma. 2018. Development of Weather Based Wheat Yield Forecast Models in Haryana.Int.J.Curr.Microbiol.App.Sci. 7(12): 2973-2978. doi: https://doi.org/10.20546/ijcmas.2018.712.340