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 |
Indian Robusta Coffee has made a slot for itself in the world market, particularly for its decent blend up quality. In India production of Robusta is more i.e. around 62–65%. Indian coffee prices are often random as they are largely inclined on production, demand of coffee in domestic and world level forces, etc. In this study Hybrid ARIMA-ANN models was compared with ARIMA and ANN model to evaluate the past behaviour of a time series data, in order to make inferences about its future behaviour for Robusta species of Indian coffee. Finally, the forecasting performance of these models are evaluated and compared by using common criteria’s such as; Root Mean Square Error, Mean Absolute Percentage Error. Key findings reveal the superiority of Hybrid ARIMA-ANN model than in other Models, for forecasting of Indian Robusta coffee price.
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