• V.Sudha
• S.Mohan
• G. Prabakaran

The Soil Texture is very important for the growth and yields of crops. The selection of crops depends on the Soil Texture. Generally, the soil texture is the Propionate of Sand, Slit, and Clay. In soil management, the soil proponent is in an up-land and lowland. The Soil Texture prediction is an important agricultural problem for farmers and it can be predicted with the help of previously available soil dataset. The soil is the basic and essential input in agricultural productivity of crops. In this paper, the crop selection is predicted using the soil texture and the factors which influence the development of agricultural sectors. The soil texture mainly depends on several parameters such as EC, pH of soil texture and terrain analysis. This paper aims in at analysis of soil dataset using big data analytics.

Soil Texture, Upland, Lowland, Soil Propionate.

"Soil Texture Based Crops Improvement Through Big Data Analytics", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.537-540, May-2019, Available :http://www.jetir.org/papers/JETIR1905H85.pdf

"Soil Texture Based Crops Improvement Through Big Data Analytics", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp537-540, May-2019, Available at : http://www.jetir.org/papers/JETIR1905H85.pdf