• N. Ram Kumar
• R. Vinay
• P. V. K. Gowtham
• M. V. K. Kalyan
• P. Anirudh

Crop productivity is a major issue which has been effecting the revenue of any agriculture sector. The method suggested mainly focuses on prescribing a solution for the productivity issues in crop which arise due to soil nutrient composition. One reason for improper productivity is unavailability of data with the farmer regarding the current status of soil and proper recommendations to improve the yield. In a hugely populated country like India it becomes a mere impossibility to test a piece of land before every season. So our mechanism is to device a mathematical tool which would give an estimate of the soil status before every crop season. The tool utilizes data available from previous soil tests and a small chemical test. The core mechanism used is solution of Parabolic Differential Equation using Explicit Scheme. The mechanism prescribed would give an estimate of soil status to each and every farmer and recommendations for better yield thus improving productivity. As a part of mechanism, focus is put on error reduction techniques so the obtained estimate is as accurate as possible and equivalent to a full-fledged chemical test from laboratory.

Data patterning, Soil Testing, Parabolic Differential Equation, Explicit scheme, Error Estimation.

"Soil Nutrient Estimation by Data Analysis to improve crop productivity of Indian Farmers", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.270-274, April-2019, Available :http://www.jetir.org/papers/JETIR1904E46.pdf

"Soil Nutrient Estimation by Data Analysis to improve crop productivity of Indian Farmers", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp270-274, April-2019, Available at : http://www.jetir.org/papers/JETIR1904E46.pdf