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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.
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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.2017.6(7): 1721-1726
DOI: https://doi.org/10.20546/ijcmas.2017.607.207


Hybrid ARIMA-ANN Modelling for Forecasting the Price of Robusta Coffee in India
Naveena, Subedar Singh, Santosha Rathod* and Abhishek Singh
Institute of Agricultural Sciences; BHU, Varanasi-221005, ICAR-Indian Agricultural Statistics Research Institute, New Delhi-110012, India
*Corresponding author
Abstract:

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.


Keywords: Indian Robusta Coffee, ARIMA, ANN, Hybrid ARIMA-ANN, Forecasting.
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How to cite this article:

Naveena, K., Subedar Singh, Santosha Rathod and Abhishek Singh. 2017. Hybrid ARIMA-ANN Modelling for Forecasting the Price of Robusta Coffee in India.Int.J.Curr.Microbiol.App.Sci. 6(7): 1721-1726. doi: https://doi.org/10.20546/ijcmas.2017.607.207