  Agricultural research has been profited by technical advances such as
automation, data mining. Today, data mining is used in a vast areas and many
off-the-shelf data mining system products and domain specific data mining
application soft wares are available, but data mining in agricultural soil
datasets is a relatively a young research field. The large amounts of data that
are nowadays virtually harvested along with the crops have to be analyzed and
should be used to their full extent. This research aims at analysis of soil
dataset using data mining techniques. It focuses on classification of soil
using various algorithms available. Another important purpose is to predict
untested attributes using regression technique, and implementation of automated
soil sample classification.
