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

Authors(2) :-Shivani Mahida, Bhargesh Patel

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.

Authors and Affiliations

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

Data Mining, time series analysis, price forecasting, agriculture

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Publication Details

Published in : Volume 3 | Issue 3 | March-April 2018
Date of Publication : 2018-02-28
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 35-39
Manuscript Number : CSEIT1831408
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Shivani Mahida, Bhargesh Patel, "A Review of the Application of Data Mining Techniques for Vegetable Price Prediction", International 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.
Journal URL : http://ijsrcseit.com/CSEIT1831408

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