Survey on Price Prediction Techniques

Abstract

Agriculture is the major occupation of India. The farmers who are the backbone of the country are suffering in utter poverty. One of the main reasons being that they are not totally aware of the business in the market. As a result of which they fall prey to the tricky dealers who convince them to sell their harvest at a price much lower than actually it should be. The systems are currently available to the educated people who deal with the economics of the agriculture. They predict the trend and causes, and finally publish a survey in the newspapers which brings the scenario in the eyes of educated public but not the actual sufferers. The academic papers taken as references do a comparative study for the efficiency of the prediction algorithm in terms of vegetable prices as a dataset. The algorithm that they used is in terms of neural networks and will help in prediction over a short period of time. Analyzing data over a time period regularly will lead to various insights and conclusions. Hence, this system suggests a time-series approach to develop a forecast model and predict, by considering the prices over a period of time.