The author as specialist in soil science integrated his experience in Economics and Statistical Analyses gained during two years in a FAO project in Syria, one year for a diploma in Agro-Food marketing and two year for MAS in Agricultural Economic to modify the ARIMA model by using intervention analysis and outlier detection to be applied for an interval irrigation that is variable. This enabled to predict precisely the next irrigation time with the ARIMA model which is crucial to enhance the effectiveness of the furrow irrigation practice. Also, he predicted the soil salinity by using ARIMA model. Further on, soil moisture and temperature measurements with the ECH2O 5TE sensors at the soil surface were used in transfer function to estimate the soil salinity at greater depth. By using a time-varying Dynamic Linear Model(DLM), Kalman Filter and smoothing techniques, the author revealed in an advanced procedure to investigate the relationship between soil dielectric constant (measured by ECH2O 5TE sensor) and soil bulk electrical conductivity under field conditions. Moreover, the author used volume balance model for assessing field irrigation performance in furrow irrigation.