LSTM Method for predicting price of agricultural product and sales volume using Long Short-Term Memory

摘要

A method for predicting farm prices and sales of farm products of the present invention in a device for predicting farm prices and sales of farm products comprises the steps of: processing inputted data when the data related to farm prices and sales of farm products is inputted; generating a long short-term memory model (LSTM) network; learning the data processed in the LSTM network; and predicting the farm prices and the sales of the farm products using the learned data. According to the present invention, by predicting the farm prices and the sales of the farm products using a LSTM, the farm prices and the sales of the farm products may be more easily and accurately predicted.