As the data is growing over the cloud servers and user’s are downloading the data through the hand-held devices attached via cloud srvers, it is necessary to extract the desired information in the less time. In the present paper, an efficient fuzzy based C-Means clustering of data is applied over the real agriculture database related to the wheat and rice grains for optimizing the time of extracting the desired information by the users. It is observed that the fuzzy C-Mean technique applied over the selected database provides the optimize results in comparison of K-Means and computed results in terms of efficiency using python programming and R language are depicted in the form of tables and figures.