Open AccessVegetable Price Prediction using ARIMA
Author(s) -
T Sindhuja,
Sakhi Chawda,
Parimala Kanaga Devan Kailasam
Publication year - 2021
Publication title -
international journal of scientific research in science and technology
Language(s) - English
Resource type - Journals
eISSN - 2395-602X
pISSN - 2395-6011
DOI - 10.32628/cseit217440
Subject(s) - autoregressive integrated moving average , econometrics , poverty , economics , agriculture , seasonality , agricultural economics , computer science , time series , statistics , mathematics , geography , economic growth , archaeology
Agriculture is the major occupation of India. The farmers who are the backbone of the country are suffering in utter poverty. This is because they are unaware of the facts that happen in the market. Thereby, they sell their crops at a price much lower than the actual cost. Analyzing data over a time period regularly will lead to various insights and conclusions. These insights can pave way to understand the prices better. Hence, this system suggests ARIMA approach to develop a forecast model and predict, by considering the seasonality in prices over a period of time.