Development of pre harvest forecasting model for Chhattisgarh plain Zone on Pigeonpea by Principal Component Analysis

Gaind Lal and Pandey Kk
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Pandey Kk: Department of Agril Statistics, Indira Gandhi Agriculture University, India

International Journal of Environmental Sciences & Natural Resources, 2017, vol. 5, issue 4, 78-81

Abstract: The present investigation deals with the model have been also developed by Principal Component Analysis on districts level and zone level as well. Models fitted with 2 Principal Components (PC1 and PC2) and Time trend (T). Models are highly significant and R2 value 69% for Pigeonpea and for CG plain Zone is also highly significant at 0.1% level of significance. The present investigation covers under the study of individual effect of weather variables, joint effect of weather variables forecasting model developed through stepwise regression technique following the concept of older studies by the different scientists in this direction for many crops. The principal component analysis has been also taken for the development of forecasting model. But in this section only Principal Component Analysis covered for the model development.

Keywords: earth and environment journals; environment journals; open access environment journals; peer reviewed environmental journals; open access; juniper publishers; ournal of Environmental Sciences; juniper publishers journals; juniper publishers reivew (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:adp:ijesnr:v:5:y:2017:i:4:p:78-81

DOI: 10.19080/IJESNR.2017.05.555667

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