Different Types of Data Mining Techniques Used in Agriculture - A Survey
( Vol-4,Issue-6,June 2017 )

R. S. Kodeeshwari, K. Tamil Ilakkiya


Agriculture, data mining, artificial neural network, k-means, decision tree, classification, clustering, association rule, regression, descriptive, predictive.


The most important domain is Agriculture in broadly cultivating countries like India. The situation of decision making can be amended by using the current technologies, the. So that the farmer’s can yield in an improved way. The major role in decision making to agricultural domains is Data mining. In this paper acquaints in connection with some of the most important data mining techniques used in agriculture. Mining in agriculture is a innovative groundwork domain. The problems in the agricultural field can be efficiently solved by using data mining techniques since it anticipate before in hand with the help of raw data’s. Previously mentioned, the paper discuses about various data mining techniques such as classification, clustering, association rule and regression.

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