• Shivangi Mehta
• Prof. Darshana Patel

Agronomics is the branch of economics dealing with the distribution, management and productivity of agriculture land. Agronomy is the science of soil management and crop production. In agriculture, role of both for achieving maximum crop yield at minimum cost is vast and to create its forecast results by using different data mining techniques is a goal of research. Process of taking a decision is as complex as there are several factors affecting entire farming process. extraction of data set by using data mining on past enterprise data ware house bulky data regarding the crop management, soil management, production forecasting, commodity cost forecasting etc by using probable matching crops to people according to basic inputs like water availability in mm, average temperature, average soil fertility of farm, locality of farm, soil type, crop duration etc by certain calculations at backend can provide proposed decision support system which is very useful in agriculture system to assist farmers for selection of a crop for cultivation mapping using different ground parameters like soil type, PH-value of soil, average weather required, required water consumption, temperature range, etc. This system used to increase productivity of crops by providing basic information and the list of the crops. Using of on-line analytical processing and data mining enriches knowledge base with new agriculture information in the form of data table and lists in user-friendly way by using graphical selector in very easy format.

Agronomy, data stream and fractal clustering

"Agronomy data mining forecast extraction by plotted data stream fractal clustering on live geo map.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 4, page no.384-391, April-2020, Available :http://www.jetir.org/papers/JETIR2004258.pdf

"Agronomy data mining forecast extraction by plotted data stream fractal clustering on live geo map.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 4, page no. pp384-391, April-2020, Available at : http://www.jetir.org/papers/JETIR2004258.pdf