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For many decades, agriculture is involved in high-quality of crop productions and plays vital role in the world's economy. Many factors affect the agriculture in direct and indirect ways. The optimization of agriculture production is implemented in many ways like finding the appropriate location for the cultivation of crops and forecasting the harvest based on the factors in farm fields etc., It is calculated by collecting the past crop data from the fields and data sets are generated using the discrete data, which provides significant information to increase the harvest of crops. The proposed system is aimed at improving the prediction accuracy. We have implemented “Single Prediction Algorithm” in order to increase the accuracy by pruning the unwanted data and extracting only the valuable data. The accurate preferred factor is calculated by applying vector distance method. Then the multi linear regression is applied on the …