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Authors
Affiliations
1 Dravidian University, Kuppam, Andhra Pradesh, IN
2 School of Basic Sciences, Vel Tech University, Avadi, Chennai, IN
Source
Data Mining and Knowledge Engineering, Vol 8, No 3 (2016), Pagination: 83-88
Abstract
In the Current scenario, agricultural society works with huge number of data. Progression and recovery of important data in this large quantity of agricultural information is essential. The information and Communications Technologies (ICT) assists computerization of extracting most important data in an attempt to obtain facts and trends, which facilitate the eradication of manual assignment and directly extract data from electronic sources, relocate to protected electronic system of records which will make possible cost reduction, high yield and better market value. This study aims to characterize households with huge and low paddy yields supported the Department of Economics and statistics Chennai, Tamil Nadu Survey information from 2011 and 2012 employing a data mining approach. Here we tend to use some techniques like decision trees, association rules, and classification rules. The results show that domestics with high paddy yields area unit those with the capability to come up with economic gain through the exploitation of their creation and agricultural benefits. Households produce low paddy yields area unit related to production loss before harvest which ends in food insecurity.
Keywords
Classification Rules, Decision Trees, ICT, Paddy.
