A Review on Data Mining and its Application in Agriculture

Data mining is the process of analyzing large amount of data for the discovering different kind’s patterns to take the decisions. Data mining is also known as knowledge discovery process. This paper is mainly focus on how data mining techniques are used in Agriculture. Data mining architecture is distributed in different stages as follows: Data sources, Database or Data Warehouse servers, Data Mining Engine, Pattern Evaluation Module, Graphical User Interface and last is Knowledge Base. In market there are different kinds of data mining tools are available in this paper some open source data mining tools are explained they are, Rapid Miner, Orange and Weka(Waikato Environment for Knowledge Analysis). Various data mining techniques explained in short. Some of the techniques are Decision Tree, Clustering, Regression, Sequential Patterns, outlier analysis and so on. At the end some applications of data mining in agriculture are discussed.