It is very difficult to find an expert at the desired time and place to give guidance about irrigation scheduling or good management of water and irrigation system. In this study, this problem was tried to be solved by designing and evaluating an expert system for a modified surface irrigation system. A rule-based program named as MSISES (Modified Surface Irrigation System by Expert System) was coded and complied using C#.net programing language. The expert system was designed to support users with information about irrigation scheduling (irrigation operating time and irrigation interval) and the gated pipes as one of the surface irrigation modification tools (gates opening ratio). Two different experiments were held to evaluate the performance of the developed expert system. The first one is to evaluate the irrigation scheduling part by cultivating a field crop (Sweet maize) to make a comparison between the crop yield and water productivity after applying the program’s scheduling and the farmer’s scheduling. The second one is to make a comparison between the fully opened gates situation and when the resulted gates opening ratio is applied. The results indicated that an increase at crop yield and crop water productivity by 9.49% and 32.37% respectively for sweet maize using the developed expert system, and also, there was a slight variation between gates discharges after using the expert system except the last four gates discharge were different because of the superimposed pressure near the closed end.

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.

The current study was carried out at the Agricultural and Veterinary Research Station, Faculty of Agriculture and Veterinary Medicine, Qassim University, Kingdom of Saudi Arabia during the two seasons 2003/2004 and 2003/2004. The objectives of this study are to investigate the effect of irrigation scheduling methods with different amounts of applied water on date palme offshoot growth, Determination offshoot consumptive use, crop coefficient, actual water requirements and the suitable soil moisture tension in the root zone before irrigation. The irrigation was scheduling by three methods, evapotranspiration calculation method, soil moisture depletion  method and farmer method (control). The evapotranspiration  calculation method (ETo) included ten treatments as a percentage of evapotranspiration (0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0 ETo). The soil moisture depletion method included five treatments of soil moisture depletion as a percentage of field capacity (50%Fc, 60%Fc, 70% Fc, 80% Fc and 90% Fc). The results showed that scheduling irrigation of the offshoot by evapotranspiration calculation method (ETo) or by soil moisture depletion  method, the amount of applied water decreased and the offshoot growth and the water use efficiency increased; compared with the farmer scheduling method. The daily and seasonal gross irrigation requirements for date palm offshoots were 51.3 l/day and 2191 m3/hec.year, while the farmer applied 19960 m3/h.year. So, the farmer added seven times as much as the actual gross irrigation requirements. The maximum water use efficiency were 2.5 kg/m3 and 1.44 kg/m3 for the treatments 0.1 ETo and 50% Fc, respectively. The suitable soil  moisture tension in the root zone before irrigation were 21.5  to 22 C-bar and 22.5 to 23 C-bar for 60 cm and 90 cm depths, respectively.