Developing Decision Making System to Classify Pests of Paddy Infesting

Abstract

Decision tree learning algorithms have been successfully used in knowledge discovery. These algorithms use induction in order to provide an appropriate classification of objects in terms of their attributes, inferring decision tree rules. There are many problems in cultivated lands because pests destroy paddy. Hence, we develop decision making system to classify the kinds of pest using Iterative Dichotomiser 3 (ID3). ID3’s output is easy to read by computer officers without having previous knowledge about classification techniques. The main task performed in this system is using ID3 decision tree induction methods to the given values of attributes of an unknown object to determine appropriate classification according to decision tree rules. So, this system solves the problems in their cultivated lands about pests without helping of agriculture experts.