Analysing K-Nearest Neighbor technique for Classification of Agricultural land Soils

Soil is a significant input aspect of cultivation. The main intention of the effort work is to predict soil type using data mining classification techniques.  Soil kind is predicted using data mining classification techniques such as KNN. This classifier algorithm is functional to take out the knowledge from soil data and the soil types. In this paper, Data Mining and agricultural Data Mining are epigrammatic. The KNN model can produce more reliable results of this data and the RMSE, RSquared, MAE values. For solute the problems in Big Data, proficient methods can be formed that exploit Data Mining to develop the meticulousness of classification of huge top soil data sets.