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Crop yield prediction using Agro Algorithm in Hadoop

Agriculture is one of the important sources of survival and one of the most important factors in the economic growth of the country. Researchers in the field of the agriculture have studied and implemented different well-organized mechanisms which would predict and increase the crop yieldsand make agriculture highly profitable.In this paper we have tried to predict the crop yield, suggest the best crop thereby improve the quality and profitability of the agriculture sector by processing huge volume of data often called as Big Data using Hadoop platform. The paper also focuses on the soil type and helps to find which particular crop would be suitable for a particular type of soil. In case of crop yield soil plays an important role andsoil information is predicted by considering the weather details of the previous years. Hence the study will predictthe suitability of a crop for a particular climatic condition and the possibilities of improving the crops quality by using weather and disease related data sets. Predicting the quality of cropsis quite complexand we need to take care of multiple approaches. This research paper help to identify mechanisms to get good quality and improved crop yields using a new algorithm named as“Agro algorithm” implemented in Hadoop platform and uses Hadoop framework to handle large amount of data sets.