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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
IJCMAS is now DOI (CrossRef) registered Research Journal. The DOIs are assigned to all published IJCMAS Articles.
Index Copernicus ICI Journals Master List 2018 - IJCMAS--ICV 2018: 95.39 For more details click here
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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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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 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2020.9(7): 1923-1929
DOI: https://doi.org/10.20546/ijcmas.2020.907.219


Forecasting of Ragi Production in Koraput Districts of Odisha, India
Chinmayee Patra1* and Subrat Kumar Mahapatra2
1Department of Agricultural Statistics, PalliSikshaBhavan, Visva Bharati University, West Bengal, India
2College of Agriculture, Orissa University of Agriculture and Technology, Odisha, India
*Corresponding author
Abstract:

Ragi is an important cereal crop in Koraput district of Odisha it is the richest source of Calcium, iron, and protein which makes it more important for health. This study aims the forecasting of Ragi production in Koraput district. Statistic data from 1985-86 to 2017-18 is used for forecasting purposes. For trend estimation, Auto-Regressive Integrated Moving Average (ARIMA) model was used. Auto Correlation Function (ACF) and Partial Auto Correlation Function (PACF) were calculated for the knowledge. Appropriate Box-Jenkins ARIMA model was fitted. Validation of the model was tested by using Root Mean Squared Error (RMSE), Mean Absolute Percentage Error (MAPE). ARIMA (0,1,1) model was used for forecasting of the subsequent 5 years' production. The result shows 52.75 tonnes of Ragi production in 2022.


Keywords: Ragi, Koraput, Auto-Regressive Integrated Moving Average model
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How to cite this article:

Chinmayee Patra and Subrat Kumar Mahapatra. 2020. Forecasting of Ragi Production in Koraput Districts of Odisha, India.Int.J.Curr.Microbiol.App.Sci. 9(7): 1923-1929. doi: https://doi.org/10.20546/ijcmas.2020.907.219