Periodicity: Bi Annual.
Impact Factor:
SJIF:4.893 & GIF:0.787
Submission:Any Time
Publisher: IIR Groups
Language: English
Review Process:
Double Blinded

News and Updates

Author can submit their paper through online submission. Click here

Paper Submission -> Blind Peer Review Process -> Acceptance -> Publication.

On an average time is 3 to 5 days from submission to first decision of manuscripts.

Double blind review and Plagiarism report ensure the originality

IJDMTA provides online manuscript tracking system.

Every issue of Journal of IJDMTA is available online from volume 1 issue 1 to the latest published issue with month and year.

Paper Submission:
Any Time
Review process:
One to Two week
Journal Publication:
June / December

IJDMTA special issue invites the papers from the NATIONAL CONFERENCE, INTERNATIONAL CONFERENCE, SEMINAR conducted by colleges, university, etc. The Group of paper will accept with some concession and will publish in IJDMTA website. For complete procedure, contact us at

Paper Template
Copyright Form
Subscription Form
web counter
web counter
Published in:   Vol. 3 Issue 2 Date of Publication:   December 2014

Agricultural Data Mining Exploratory and Predictive Model for Finding Agricultural Product Patterns

Gulledmath Sangayya,Yethiraj N.G

Page(s):   49-54 ISSN:   2278-2397
DOI:   10.20894/IJDMTA. Publisher:   Integrated Intelligent Research (IIR)

In India the agriculture was practiced as subsistence basis; farmers products used to exchange with his needs with other commodities on barter system in olden days. Now in better usage of agricultural technology and timely inputs, the agriculture becomes commercial in nature. The current scenario is totally different farmers want remunerative prices on his produced commodity and increased awareness marketing becomes part of agricultural system. Now situation is much more demanding if people are not competent enough then survival becomes difficult. Still in India dream of technology reaching to poor farmers is distant issue. However government is taking initiative to empower them with new ICT tools. The small effort of this paper is intended to give insight of one such technology called as Data Mining. In this paper we have taken certain conceptual Data Mining Techniques and Algorithms to implement and incorporate various methodologies to create concurrent result for decision making and creating favorable policy for farmers. We used data sets from APMC market source and run using the open source software tool of Weka. Our finding clearly indicates which algorithm does what and how to use in effective and appropriate manner.