JURJ

A Review on Decision Making on Agriculture Data Mining Technique

Author: Deepak Sharma and Dr. Deepshikha Aggarwal

Abstract:

Extracting knowledge and patterns from large datasets is data mining. Data processing and data retrieval are essential for farmers in the agricultural area since they have to deal with a lot of information. As a result, the management and organization of this data requires the use of proper procedures and techniques. Classification is the process of generalizing existing structure to fit new information. A decision tree is used to represent the classification process. These are the most often used classification algorithm because of the ease with which they can be implemented, as well as the ease with which they can be understood in comparison to other classification algorithms.

With regard to new areas of agricultural research, data mining can be used. Data mining can be used to develop and adapt efficient strategies for solving complicated agricultural challenges. This document introduces some of the most essential agricultural data mining approaches. Miners in agriculture are pioneers in a new field of groundwork. In the agricultural area, data mining techniques can be used effectively since they can predict issues before they occur. Data mining techniques are used in this study to try and get the required results. The purpose of the study was to examine the most effective techniques.