Price Forecasting of Potato Using ARIMA Model on Cloud Platform

The major focus of our paper is to benefit farmers by providing them with knowledge of the future price of potatoes in the different bazaars of Uttar Pradesh. So, the farmers can get extra profit by selling their potatoes in the market where the price is high. In this proposed research paper, we have developed a model to forecast the cost of potatoes. We have selected the best model by comparing different parameters (Table 3). All the implementations have been done at Banaras Hindu University in the Agronomy department using the ARIMA (Autoregressive Integrated Moving Average) model available on the Google cloud platform i.e. Google Colab. We have implemented the ARIMA model to help farmers of eastern Uttar Pradesh. The ARIMA (1, 1, 2) is fit for potato cost forecasting because the ARIMA model demonstrates better accuracy.