• Aishwarya Bagde

Data Mining is a method which centers on expansive data sets to remove data for expectation and disclosure of concealed patterns. Data Mining is appropriate for different zones like human services, protection, showcasing, retail, correspondence, agriculture. At first, this information extraction was figured and assessed physically utilizing measurable systems. Along these lines, semi-automated data mining systems rose due to the progression in the innovation. Such headway was additionally as a capacity which expands the requests of examination. In such case, semi-mechanized systems have turned out to be wasteful. Consequently, robotized data mining systems were acquainted with blend information productively. A study of the accessible writing on data mining and pattern recognition for soil data mining is displayed in this paper. Data mining in Agricultural soil datasets is a generally novel research field. Proficient strategies can be produced and customized for explaining complex soil datasets utilizing data mining.

Data Mining, K-Means, Support vector machines, Artificial neural networks, Agriculture

"An Analytical Review of Techniques for Soil Quality Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 3, page no.a583-a586, March-2022, Available :http://www.jetir.org/papers/JETIR2203068.pdf

"An Analytical Review of Techniques for Soil Quality Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 3, page no. ppa583-a586, March-2022, Available at : http://www.jetir.org/papers/JETIR2203068.pdf