The Augmented Dickey-Fuller Test is a statistical test used to determine whether a unit root is present in an autoregressive model, which helps in assessing the stationarity of a time series. It extends the Dickey-Fuller test by including lagged differences of the time series to account for higher-order serial correlation, enhancing the test's robustness in practical applications.