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Published in:   Vol. 7 Issue 1 Date of Publication:   June 2018

An analysis and impact factors on Agriculture field using Data Mining Techniques

S.Bhuvaneswari,T.Pramananda Perumal, B.Jagadhesan

Page(s):   11-14 ISSN:   2278-2397
DOI:   10.20894/IJBI.105.007.001.004 Publisher:   Integrated Intelligent Research (IIR)

In computing and information huge amount of data was provided in the storage. The task is to extract the specified data from the raw data. Data mining is one of the techniques that will extract the data. Data mining techniques are used in many places. The techniques like K-means, K nearest neighbor, support vector machine, bi clustering, navie bayes classifier, neural networks and fuzzy C-means are applied on agricultural data. There are many factors in agriculture. The main factors for the farmer are climate, soil and yield prediction. Farmer must know To improve their production select suitable crop for suitable climate. This paper provides the various concepts of Data mining, their applications and also discusses the research field in agriculture. This paper discusses the different types of factors that impact in the agriculture field.