Vegetable Price Prediction using ARIMA

Authors

  • Sindhuja T  UG Scholar, Computer Science and Engineering, Easwari Engineering College, Anna University, Chennai, India
  • Sakhi Chawda  UG Scholar, Computer Science and Engineering, Easwari Engineering College, Anna University, Chennai, India
  • Parimala Kanaga Devan Kailasam  Associate Professor, Computer Science and Engineering, Easwari Engineering College, Anna University, Chennai, India

DOI:

https://doi.org/10.32628/CSEIT217440

Keywords:

time-series, prediction, forecasting, ARIMA

Abstract

Agriculture is the major occupation of India. The farmers who are the backbone of the country are suffering in utter poverty. This is because they are unaware of the facts that happen in the market. Thereby, they sell their crops at a price much lower than the actual cost. Analyzing data over a time period regularly will lead to various insights and conclusions. These insights can pave way to understand the prices better. Hence, this system suggests ARIMA approach to develop a forecast model and predict, by considering the seasonality in prices over a period of time.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2021-08-30

Issue

Volume 7, Issue 4, July-August-2021

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Sindhuja T, Sakhi Chawda, Parimala Kanaga Devan Kailasam, " Vegetable Price Prediction using ARIMA" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 7, Issue 4, pp.176-183, July-August-2021. Available at doi : https://doi.org/10.32628/CSEIT217440