Analsis of meteorological parameters and preparation of agricultural meteorology maps by using data mining

Data mining is to infer important and useful data which are unknown before from great data sources. In this study, the aim is to discover the pattern of agricultural products by means of drawing agricultural meteorology map of Malatya. Besides, it is intended that producers can plan for their investments in advance, thus, minimize the financial loss to be caused by misstep, and finally contribute to the economy with great projections. Using data mining techniques, meteorological and agricultural data sources in which a great deal of data have been stored can be processed and interpreted with Classification, Relating and Grouping, all of which are data mining models . In the end, agricultural meteorology map of Malatya has been drawn and pattern of agricultural products has been discovered. Grouping model reveals which group products belong to according to their features. Classification model reveals with which predefined classes products will be presented according to productivity analysis. Relating model reveals hidden relationships among products. In practice, agricultural meteorology map of Malatya has been drawn. It is achieved which group the product that is entered belong to and with which class the product that is entered will be presented. The other products which will grow dependently upon the product that is entered are estimated. Keywords : Data Mining, Decision trees, Hierarchy Method, Apriori Algorithm