A Datamining Based Decision Support System For Fruit Manufacturing

Abstract

Agricultural activities provide one of the main sources of living in many regions of the world. Such products play significant roles for the survival of living organisms. Farmers all around the world work towards reaching their economic goals through agricultural activities. By doing this, they invest both their capital and time. In some occasions, such investments end up with serious losses and planted products either grow in low levels or do not grow at all. In this study, in order to avoid such situations and guide the investors intelligently, a decision support system based on decision tree is developed. Related parameters in accordance with the climatic and geographic characteristics of the region are determined within this proposed system. Then, appropriate types of fruits are proposed to the users as the outcome of the system based on these parameters. By doing this, producing more efficient and profitable products is aimed.