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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 (2020)
[Effective from January 1, 2020]
For more details click here

ICV 2018: 95.39
Index Copernicus ICI Journals Master List 2018 - IJCMAS--ICV 2018: 95.39
For more details click here

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PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
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Email : editorijcmas@gmail.com / submit@ijcmas.com
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2020.9(4): 1366-
DOI: https://doi.org/10.20546/ijcmas.2020.904.162


Forecasting Paddy Prices in Ambikapur Market of Chhattisgarh State using SARIMA Approach
Chowa Ram Sahu1, M. L. Lakhera1 and S. S. Walke2*
1Department of Agricultural Statistics & Social Science (L.), IGKV,
Raipur - 492012 (C.G.), India
2College of Agriculture and Allied Science, Baramati MPKV Rahuri (MS), India
*Corresponding author
Abstract:

The present study was carried out to forecast prices of paddy through univariate Seasonal Auto Regressive Integrated Moving Average (SARIMA) model. The secondary data (Time Series data) pertaining to monthly prices (Rs/q) of paddy were collected the website of Chhattisgarh State Marketing Board (Mandi) for the period from April 2009 to February 2020 have been used for the study. The SARIMA (2,1,2) (1,1,1)12 were found as the most suitable models to forecasts of paddy prices. With these models there were made forecast for 13 months, which are from March 2020 to March 2021. The best models were chosen based on highest R2-value and least Mean Absolute Percentage Error (MAPE) value.


Keywords: Paddy, Forecasting, SARIMA, MAPE, Coefficient of multiple determinations (R2)
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How to cite this article:

Chowa Ram Sahu, M. L. Lakhera and Walke, S. S. 2020. Forecasting Paddy Prices in Ambikapur Market of Chhattisgarh State using SARIMA Approach.Int.J.Curr.Microbiol.App.Sci. 9(4): 1366-. doi: https://doi.org/10.20546/ijcmas.2020.904.162