Title | Production Analysis and Prediction of TOP using ARIMA Model (PAPTOP) |
Publication Type | Journal Article |
Year of Publication | 2020 |
Authors | Darshan, H., M. P. Shwetha, . Sharanabasavaraj, S. Puneeth, and A. C. Shivaprasad |
Journal | International Journal of Engineering Research & Technology (IJERT) |
Volume | 9 |
Issue | 7 |
Pagination | 945 - 949 |
Date Published | 2020 |
Type of Article | Journal Article |
ISBN Number | 2278-0181 |
Keywords | Department of Electronics and Communication Engineering, Others |
Abstract | Tomato, Onion and Potato are the staple foods that form the essential part of meal in the contemporary world. Lack of co-ordination between the demand, supply and production induces price fluctuation in the developing country like India. In order to overcome this problem a synchronous model should be in place to reduce the price fluctuation. One of the solutions for the mentioned problem, is designed in the work carried out. ARIMA model has been utilized in the work to come up with the best model for predicting the amount of production based on the previous data. The work provides the best AR, MA and ARIMA model and also the prediction for 15 years based on the previous available data. In conclusion, the work provides the ARIMA model for tomato, onion and potato. |
URL | www.ijert.org/production-analysis-and-prediction-of-top-using-arima-model |