Analysis of Agriculture Commodity Prices using MapReduce Model

Abstract: India is the fastest growing economy in the world. Agriculture is the backbone of country. Agriculture continues to be main stay of life for majority of the Indian population. It contributes around 25% of the GDP and employs 65% of the workforce in the country. Big Data can help agriculture sector to chance its phase and rise with the growing economy. It can provide economists and policy makers with insightsand help in makingdecisions and crucial policies. In this paper we are proposing a system which accumulates various commodity data from open government data sources, filter it by MapReduce steps as table functions and producing current and yearly trends that canhelps farmers selling their crops at best profitable prices and provides detailed analysis for various commodities and markets.

Keywords: Data Collection, Analysis, Agriculture, MapReduce.