National Academy of Agricultural Sciences (NAAS)
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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 |
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.
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