Possible Use of Data Mining for Analysis and Prediction of Apple Physical Properties

Data mining is used as a popular technique in several scientific researches. In agriculture, application of data mining is a relatively new approach. One of the most popular data mining approaches is to find prediction rules from experimental data sets. The present study was conducted in two stages to find out a rule for estimation of width of stalk cavity, depth of stalk cavity, width of eye basin and depth of eye basin of different apple varieties ('Amasya', 'Starking', 'Granny Smith', 'Pink Lady', 'Golden Delicious' and 'Arapkizi') based on physical properties and to propose an equation for calculating these parameters. In the first stage, data processing was performed and in the second stage, Find Laws was used for prediction of apple properties. Current results revealed that data mining technique had a superior performance and could reliably be used in estimation of physical characteristics of agricultural products. Further research is recommended for possible use of datamining in other agricultural application.