A model to analyze interpret activities of agriculture fraternity with data interpretation

Abstract

In Agriculture, field farmers and agriculture, fraternity has to take impotent decisions every day. In our country, farmers are not getting the expected price from their crops. Crop price mostly depends on the market and the weather. Any farmer is enthused about knowing how a great deal of crop price he will foresee. Previously, the yield figure was performed by contemplating a farmer's understanding of the explicit field and collect. The crop price prediction is a serious problem that remains to be resolved based on statistical data. Tracking patterns, visualization and other techniques of data mining is the best option for solving this problem. This proposal implements a system to predict crop prices based on the last 10-year data. This is done through the use of various data mining techniques. This research focuses on future crop price prediction base on every dependent factor. If we have the previous year data available in which corresponding crop prices are recorded and this recoded price will help to classify crop price.