A Review of the Application of Data Mining Techniques for Vegetable Price Prediction

Authors

  • Shivani Mahida  Department of IT G H Patel College of Engineering and Technology Vallabh Vidyanagar, Anand, Gujarat, India
  • Bhargesh Patel  Department of IT G H Patel College of Engineering and Technology Vallabh Vidyanagar, Anand, Gujarat, India

Keywords:

Data Mining, time series analysis, price forecasting, agriculture

Abstract

Agriculture is the backbone of Indian economy. The volatile nature of Agriculture commodity prices cause the unfortunate effect on the economy and expose the growers to high risk. Nowadays Government and other commercial sectors provide fundamental data such as market information, weather information through several services using the internet. Data mining in addition to Information technology enables automation of extracting significant data in an effort to obtain knowledge and trends. Vegetable price prediction system aims to predict vegetable prices in near future by analyzing time series data on daily arrivals and prices of selected vegetable. By having the necessary information, farmers can make better and more informed decision regarding production and sell for their produces and government can frame appropriate agriculture policies.

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

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Published

2018-02-28

Issue

Volume 3, Issue 3, March-April-2018

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]
Shivani Mahida, Bhargesh Patel, " A Review of the Application of Data Mining Techniques for Vegetable Price Prediction, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 3, pp.35-39, March-April-2018.