Regression Techniques Using Data Mining in Flowering Plant

Abstract

Nowadays, data is considered as the heart of every business. Regardless of being macro/micro industry Data is vital in wholesales, retailer, production, communication, facilities, transportation, insurance, credit cards, booking through operational systems. Therefore, a device is needed to process the stored data and then provides users with the same. Data mining in recent years, have increasingly developed and provided users several applications limitlessly.In previous decades, large number of data has been accumulated and stored in data Unit .This research analyzes data through regression and discussed the effect of dry leaf weight on the period of flowering. The data base has been collected from different plants of Kish Island in various areas in order to determine, classify and predict effective growth factors on blooming. The analysis of these agricultural data base with data mining methods may have some advantages in agriculture