Scheming a new algorithm for dynamic price prediction of vegetable commodities using statistical price prediction technique
by R. Deepalakshmi; S. Padma Devi; J. Shanthalakshmi Revathy; T. Grace Shalini
International Journal of Computational Complexity and Intelligent Algorithms (IJCCIA), Vol. 1, No. 2, 2019

Abstract: Agriculture is the back bone of our nation and plays major role in our nation. Data mining and big data plays a vital role in making a decision related to the agriculture field. The major drawback of using these algorithms for price prediction methodology is that only small sample of data set is taken for the processing and predicting the price of vegetable in one particular area. This paper proposes a new statistical price prediction (SPP) methodology to overcome this. The present study was undertaken with the objectives to build appropriate forecasting model and to forecast the groundnut price of Madurai market of Tamil Nadu. SPP is used along with the statistical measurement and calculation for the unknown sample of data and a time series analysis is made for the appropriate price prediction of sample data collected. This technique provides a view for estimating the price of vegetable in future and provides a possible way to analyses the price.

Online publication date: Tue, 26-Nov-2019

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computational Complexity and Intelligent Algorithms (IJCCIA):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com