Open Access Journal

ISSN : 2456-1304 (Online)

International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

Open Access Journal

International Journal of Science Engineering and Management (IJSEM)

Monthly Journal for Science Engineering and Management
Call For Paper : Vol 11, Issue 03, March 2024

ISSN : 2456-1304 (Online)

Call for Paper

Vol 11, Issue 03, March 2024

Indexing

Forecasting of Coffee Production in India Using ARIMA Model

Author : M Gopinath 1 S Sweka 2 S Vishalakshi 3

PDF

Date of Publication :16th October 2019

Abstract: Coffee plays vital role in India, a normal consumption of coffee, which means that three to five cups/day, is connected with a range of physiological belongings and can be fit inside healthy, impartial diet and dynamic way of life. Coffee production is conquered in the South Indian states, in Karnataka with 71%, subsequently Kerala with 21% and Tamil Nadu with 5% of on the whole production with 8,200 tonnes. Our Indian coffee is especially for the hand-picked coffee grown-up in the dark sooner than direct sunlight everywhere in this world. In India around 250,000 coffee growers are working around the country. Moreover 98% of people are small coffee producers.

Reference :

    1. Box, G. E. P. – Jenkins, G. M. – Reinsel, G. C.: Time Series Analysis: Forecasting and Control. John Wiley & Sons Inc., New York, 2008.
    2. Box, G. E. P. – Tiao, G. C.: Intervention analysis with applications to economic and environmental problems. Journal of the American Statistical Association. 1975, vol. 70, no. 349, p. 70-79
    3. Marek, L.: Transfer function models. Acta Oeconomica Pragnesia. 2000, vol. 8, no. 3, p. 83-94
    4. Pankratz, A.: Forecasting with Dynamic Regression Models. Wiley-Interscience, 1991.
    5. Rublíková, E. – Marek, L.: Linear transfer function model for outflow rates. Ekonomické rozhľady. 2001,vol,30,no. 4, p.457 – 466.
    6. e Felice, M., Alessandri A., Ruti P. M.,(2013). Electricity demand forecasting over Italy: potential benefits using numerical weather prediction models. Electric Power Systems Research. Retrieved on 16/10/2015 http://www.researchgate.net/publication/263927 372
    7. Durka, P. & Pastorekova, S. (2012). ARIMA vs ARIMAX – which approach is better to analyze and forecast macroeconomic time series?. Proceedings of 30th international conference on mathematical methods in economics. 136-140.
    8. Ekesiobi C. S., Maduka, A. C., Onwuteaka C. I.& Akamobi, G. O.(2016). Modelling non-oil export and foreign reserves in Nigeria. Developing country studies 6(6). www.iiste.org retrieved: 7/7/16.
    9. Hamjah, M.A. (2014). Climatic effects on major pulse crops production in Bangladesh: an application of Box – Jenkins ARIMAX model. Journal of Economics and Sustainable Development. 5(15) 169 – 180). www.iiste.org. Retrieved 16/10/15
    10. Imoughele, L.E & Ismaila M. (2015). The impact of exchange rate on Nigeria non-oil. International Journal of Academic Research in Accounting, Finance and Management sciences.5(1), 190-198. www.hrnars.com. Retrieved 16/10/15

Recent Article