• Tanmyee Nimbalkar
• Nitesh Pawar
• Mehazabin Sayed
• Navneet Pandey

Agriculture is the most basic function to accomplish food demand all over the globe; it contributes nearly sixteen percent to total GDP(Gross Domestic Product) of India and ten percent of the total exports which helps in increasing foreign exchange. Agriculture is a backbone particularly in the developing countries like India. The population of India is continuously increasing and to meet the food necessities of this growing population, agricultural yield should be boosted. The application of Data mining techniques in agriculture especially on soils can improve cultivation yields in a better way as well as knowledge discovered from raw data is useful for many purposes. Data mining techniques are better choices for the same the analysis of soils plays an indispensable role for resolution making on several issues related to agriculture field. This Project presents the role of data mining in perspective of soil analysis in the field of agriculture by using various data mining techniques including classification algorithms such as SVM algorithm.

Dataminig, Nutrition Values, Soil Dataset, SVM.

"Profile based agriculture sysytem", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.106-109, April-2019, Available :http://www.jetir.org/papers/JETIR1904916.pdf

"Profile based agriculture sysytem", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp106-109, April-2019, Available at : http://www.jetir.org/papers/JETIR1904916.pdf