Forecasting Using Vector Autoregressive Models (VAR) Applying Vector Autoregressive Model For Smart Irrigation

Abstract

Forecasting data can give a better understanding, control and manage unexpected results better. Vector Autoregressive Models (VAR Models) have for long been used to find trends in a set of non-discreet values. In this paper, we focus on building VAR models, to determine the best fit using various tests and the results obtained when we applied VAR models to estimate the future values and trends in soil moisture. Along with the application of VAR models to predict the soil moisture, we have also additionally applied it to the temperature and mean sea level pressure forecasting, results of which are presented.