Data mining algorithm to predict the factors for agricultural development using stochastic model

Abstract

Data mining is a route of extract patterns from data and it is used to transforms unprocessed collections of data into information. In this paper proposes an efficient factor of agriculture development using different type of agriculture related datasets by adopting stochastic modeling and data mining approaches. Firstly, the novel model and algorithm is proposed to predict the growth of agriculture based on primary and secondary data using stochastic modeling approach. Numerical illustrations and various expected estimations also prove the proposed system approach.