Design of Sprinkler Irrigation Systems Using an Expert System Program
Alashram, M., elbagoury, K., Shaaban, S., abdel-aziz, A. (2021). Design of Sprinkler Irrigation Systems Using an Expert System Program. EKB Journal Management System, 29(1), 197-210. doi: 10.21608/ajs.2021.48681.1288
Mohamed Alashram; Khaled elbagoury; Said Mohamed Shaaban; Ahmed abdel-aziz. "Design of Sprinkler Irrigation Systems Using an Expert System Program". EKB Journal Management System, 29, 1, 2021, 197-210. doi: 10.21608/ajs.2021.48681.1288
Alashram, M., elbagoury, K., Shaaban, S., abdel-aziz, A. (2021). 'Design of Sprinkler Irrigation Systems Using an Expert System Program', EKB Journal Management System, 29(1), pp. 197-210. doi: 10.21608/ajs.2021.48681.1288
Alashram, M., elbagoury, K., Shaaban, S., abdel-aziz, A. Design of Sprinkler Irrigation Systems Using an Expert System Program. EKB Journal Management System, 2021; 29(1): 197-210. doi: 10.21608/ajs.2021.48681.1288

Design of Sprinkler Irrigation Systems Using an Expert System Program

Arab Universities Journal of Agricultural Sciences
Article 139, Volume 29, Issue 1, April 2021, Page 197-210  XML PDF (711.23 K)
Document Type: Original Article
DOI: 10.21608/ajs.2021.48681.1288
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Authors
Mohamed Alashram email orcid 1; Khaled elbagouryorcid 2; Said Mohamed Shaaban1; Ahmed abdel-aziz3
1Water Relations and Field irrigation Dept., National Research Centre, Dokki, Giza, Egypt
2Agricultural Engineering Department, Faculty of Agriculture, Ain Shams University,Cairo, Egypt
3Agricultural Engineering Department, Faculty of Agriculture, Ain Shams University, Cairo, Egypt
Abstract
In this research, a rule-based expert system named EFSIS-ES (Engineering Factors of Sprinkler Irrigation System -Expert System) had been built, verified and validated. Therefore, the aims of this research were to build, verify and validate an expert system for making a decision for the normal user to maximize system efficiency of sprinkler irrigation. The inputs data included location data, climate data, pump data, crop data, soil data and sprinkler system data. The outputs of the expert system were number of the sprinklers on a lateral, number of laterals in the irrigation system, length of each lateral, main line length, irrigation frequency, required pump power, total dynamic head (TDH) and pump discharge output. Results showed high correlation (R2 = 0.9927) between the EFSIS-ES program and the designed spreadsheet in regard to irrigation frequency. It could be indicated high correlation (R2 = 0.9999) between the EFSIS-ES program and the designed spreadsheet regarding pump power. The regression coefficient (R2) was 0.9983 between EFSIS-ES program and SSSDPS Expert regarding total dynamic head (TDH). It could be indicated high correlation (R2 = 0.9979) between EFSIS-ES program and SSSDPS Expert regarding pump discharge output.
Keywords
Expert system; EFSIS-ES Program; Sprinkler irrigation; Smart irrigation technology; Pump power; Irrigation frequency
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