Prediction of major crop yields of Tamilnadu using K-means and Modified KNN

Agriculture is the principal source of livelihood for more than 40 percent of the population of this state. According to Food and Agricultural Organization (FAO) researchers, between 2010 and 2050 the world population will increase by one third. The demand for crop production will increase by 60percent higher than the current production. Hence prediction plays a major role to find out the demand of crop production for maximizing the yield. For that in this paper we propose a prediction method for the major crops of Tamilnadu using K-means and Modified K Nearest Neighbor (KNN). Matlab and WEKA are used as the tool for clustering and classification respectively. The number result shows that our method is better than traditional data mining approach.