Agriculture Data Analyzes with Data Mining

The technologies used for increasing the quality and productivity in agricultural production are increasing day by day. As a result of these developments, there are also serious increases in the data sizes obtained from agricultural production. Experimental studies with various measurements and sensors are helpful to the decision-making process by appropriately handling these data. The fact that these agricultural data in the raw state are made more meaningful by the implementation of the data mining stages is important in terms of knowledge discovery. The data mining analyzes, which is used in many areas, and its use in the field of agricultural production, brings with it a variety of benefits. In this study; it has been proposed to build decision-making systems to ensure quality and productivity increase in agricultural production by conducting data mining analyzes with data sets from agricultural experiments starting from soil cultivation to harvesting