Irrigation, water management under climate change conditions plays an important role in rationalizing water uses efficiency in the agricultural development processes specially under aridecosystems conditions. Therefore, the objective of this study was to estimate the irrigation water requirement of savings landscaping areas under different recent techniques. So, this study focused on comparison between fully automatic with central control system (C.C.S) based on weather station and Control unit based on operator experience and background. The experiments were conducted during two years (from January 2014 to December 2015), in the site that located in District 5, New Cairo, Cairo, Egypt.  The results indicated the irrigation scheduling based on weather station data using a central control system (C.C.S) optimized maximize the irrigation water use efficiency and increase the amount of irrigation water saving  by about  14%, 36%,18% and 33% in Autumn, Winter ,spring and summer  respectively  in year of  (2014) and 7%, 29.7%, 16%, 33% in Autumn, Winter, spring and summer,  respectively in year of  (2015) compared with the other irrigation scheduling when based on calculated according to traditional method. In addition,  the results revealed that scheduling practices based on weather station data by using central control system could reduce the average of power consumption (about 314 KW) in year of (2014) and (about 347 KW) in year of  (2015).  Moreover ,the results revealed that the cost of water consumption for the central control system based on the data of the meteorological station for the two years 2014 and 2015, the years of study 
were 018601 L.E./ 2 years compared with the other irrigation schedule when calculated according to the operator's experience was 010101 L.E./ 2
 years. Where the cost of 36172, 13603, 23393 and 33642  L.E./ 2 years in the winter ,spring, summer, autumn and respectively of the central control system and 39600, 17068, 28820 and 45522  L.E./ 2
 years in the winter, spring, summer, autumn respectively of the other system.