• R. Sudha Abirami
• M. S. Irfan Ahmed

Data Mining is one of the emerging research fields in Agriculture soil analysis. In this paper, the focus is on the applications of Data Mining Classification Techniques in agricultural field on analyzing the soil data. This paper presents the application of a random Forest algorithm for classification of Soil data to classify soil. e. The database has physical and chemical properties. The physical and chemical properties of the soil always play an important role in farming. The Classification algorithms are used for discovering the rules that classify the data into separate groups. Categorizing the soil with to the soil nutrients which is present in the soil, is more useful to the famers and they predict which crop can be cultivated in a particular soil type. In this paper, the proposed method classifies the soil according to the macro nutrients and micro nutrients.

Classification, Feature extraction, Discretization, Data mining

"A Comparison of Data Mining Classification Algorithms using Soil Dataset", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 5, page no.b701-b705, May-2022, Available :http://www.jetir.org/papers/JETIR2205194.pdf

"A Comparison of Data Mining Classification Algorithms using Soil Dataset", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 5, page no. ppb701-b705, May-2022, Available at : http://www.jetir.org/papers/JETIR2205194.pdf