ADVOCACY IN IMPROVING FOOD SECURITY USING PREDICTIVE ANALYSIS

Abstract

Food security is, “when at all times, all people have access to sufficient, safe, affordable and nutritious food to maintain a healthy life”. Increase in agricultural productivity is one of the solution for food security issues. This should be based on integrating inputs and outputs-the supply of high yielding varieties of seeds, fertilizers, and irrigation, supported by credit alongside remunerative output prices. A “green revolution" is essential to stimulate food production in India. Farmers necessarily require a timely advice to predict the future crop productivity and an analysis is to be made in order to help them to maximize their crop production. In this proposed work, Hadoop, an open source framework is used to store and process the crop related data sets in a Distributed Environment .Hive is used to develop SQL type scripts to facilitate the analysis of datasets and predict patterns by facilitating map reduce operations. This approach will aid in developing innovative proposals to enhance production rate and prevent food scarcity.