Dealing of Data Pre-processing with Computational Intelligence for Sampling and Analysis of Soil-Case Bidar District-Karnataka.

Abstract

Data Mining and Knowledge Discovery becomes buzzwords from last two decades. Data Mining as we all know its trending industry in Data Analytics and knowledge representation. This research article initiates novel approach of how Data Mining can be relatively used in Agricultural domain and their applications more dominant in the specified area of soil classification and soil fertility. Now Data Analysis is becoming part of our life why can't we consider our own farmers to empower them to use more knowledge-oriented techniques to yield the good crop. I have taken Bidar District in Karnataka for soil Sampling and Analysis of Soil. Data pre-processing is challenging, important and critical step in the data mining process and it has enormous scope and it directly impacts the success of data mining process. There are many pre-processing techniques but which one makes better selection for agricultural data sets is vital task of the computational challenges that needs to address and incorporate more suitable one for the better representation of knowledge in soil sampling and analysis.