Production of Sugarcane Forecasting using ARIMAX Model
M Gopinath1, M Kavithamani2
1M Gopinath, Department of Mathematics and Statistics, Sri Krishna Arts and Science College, Coimbatore (Tamil Nadu), India.
2M Kavithamani, Department of Mathematics and Statistics, Sri Krishna Arts and Science College, Coimbatore (Tamil Nadu), India.
Manuscript received on 08 October 2019 | Revised Manuscript received on 22 October 2019 | Manuscript Published on 26 December 2019 | PP: 596-600 | Volume-8 Issue-12S October 2019 | Retrieval Number: L114710812S19/2019©BEIESP | DOI: 10.35940/ijitee.L1147.10812S19
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The main objective of this study is to analyze the production of sugarcane in India and to forecast the sugarcane production using Auto Regressive Integrated Moving Average with Exogenous variable or Inputs model (ARIMAX). This model mainly focused in the area of forecasting and it gives the accurate prediction. Data has been collected from Sugarcane Breeding Institute, Coimbatore. The ARIMAX model was introduced by Box and Tiao in their study. At present this model was used minimum amount of people in their studies. When we compare with ARIMA model, the ARIMAX model gives the greater accuracy.
Keywords: Sugarcane, Prediction, ARIMA, ARIMAX, India.
Scope of the Article: Production