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Weather based forecasting model for chickpea using multivariate-statistical model in Bilaspur district of Chhattisgarh

Journal of Pharmacognosy and Phytochemistry · 2018 · Vol. 7(6) · pp. 2400–2403

Abstract

The present study investigates the effect of weather variables on the Chick pea crop in Bilaspur district of Chhattisgarh. The analysis has been done for the development of forecasting yield model. Time series data on yield for 16 years (2000-2015) for Bilaspur district has been taken from the website (www.ends.dacnet.nic.in). The weekly meteorological data (2000-2015) has been taken from IGKV, Raipur for Chick pea crop period data. The study has quantified the relationship of weather variables with the yield of Chickpea, with the help of correlation coefficient estimated by Karl Pearson method. Further the yield prediction was done for the crop with help of SPSS model. The multivariate statistical equations were developed for the Chick pea yield prediction from 2000-2013. These equations were then further validated for years 2014 & 2015. On basis of this study it was easy to forecast the yield of Chick pea for Bilaspur district of Chhattisgarh.

Agricultural Economics and PracticesYield (engineering)Multivariate statisticsStatisticsMathematicsCropCorrelation coefficientGeographyForestry
Citations
0
FWCI
0.00
field-weighted impact
References
0
Percentile
45%
vs. same field & year
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