A Novel Approach of Applying Rank Ordering Clustering Algorithm in Agricultural Data

Today, INFORMATION IS WEALTH and all information on transactions, science, medicine, etc. is enormous in nature. The usage of this large statistics, can analyze and improvise the choice making system in the agriculture sector, to pick out the type of crop to be cultivated in a particular area used for agriculture. This paper helps the intended person to seek out the sort of crop in their region and therefore the parameters are used to maximize the crop production using Rank Ordering Algorithms and Island Number Algorithm. The algorithms works on agricultural data. It additionally helps farmers to hold track of the ancient crop yield record with the aid of forecasting a reduction in danger control.