In this paper, agricultural product pattern exploration analysis of Turkey has been extracted by using data mining techniques. Data mining can be defined as a series of techniques and perceptions which provide to make estimations and plans related with the future by retrieving the useful information which are not known previously among the data for the decision stages of the organizations [4].In order to carry out this analysis, FP-Growth algorithm was used in the Data Mining which is one of the association rule inference algorithms. Application data was applied over 21 cities in 7 regions which are interpreted with the prepared software and selected as model. FP-Growth algorithm was applied over the analysis obtained from these processes, by this way agricultural product pattern exploration analysis of Turkey was carried out.