A PROPOSED FRAMEWORK TO IMPROVE DECISION-MAKING IN THE DEPLOYMENT OF MODERN IRRIGATION TECHNIQUES USING BUSINESS INTELLIGENCE | ||||
| International Journal of Advanced Engineering and Business Sciences | ||||
| Article 1, Volume 3, Issue 2 - Serial Number 3, June 2022, Page 1-15 PDF (2.08 MB) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/ijaebs.2022.134297.1025 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
Mohamed Sameh Hassanein1; Mohamed Hamed Elfar  2; Riham Mohamed Younis Haggag3; Abdel Nasser H .Zaied4
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| 1Integrated Thebes Institutes for Computing & Management Science | ||||
| 2Business Information System, Faculty of Commerce, Helwan University, Cairo, Egypt | ||||
| 3Faculty of Commerce and Business Administration, Business Information Systems Department, Helwan University, | ||||
| 4Faculty of Computer Science, Misr International University | ||||
| Abstract | ||||
| The research problem highlights the suffering of Egypt in recent years due to severe scarcity of water. Consider that unequal water distribution, misuse of water resources, and inefficient irrigation techniques are some of the main factors that play a destructive role in water security. Egypt also faces a water deficit of 20 billion cubic meters per year. The United Nations has warned of the runout of water in Egypt by 2025. So, to preserve and develop water resources, a survival strategy is required. This study aimed to apply business intelligence techniques to aid decision-makers in determining the amount of water needed based on crop type, appropriate irrigation system, land size, region, planting season, and development of various scenarios for the application of modern irrigation systems; determining the cost of modern irrigation system implementation scenarios; and determining the best scenario for implementing various irrigation systems, as well as the cost of doing so. The findings tool allows for improved decision-making, enables the transformation of raw data into useful information, and provides a good way to visualize data and identify trends. These aspects all align directly with the requirements for a BI tool in supporting strategic water resources management in Egypt. and help in guiding the experts to the best scenario for water resources management in Egypt through the application of modern irrigation systems. | ||||
| Keywords | ||||
| Business Intelligence; Water Resources Management; Analytical Reporting; decision-making; modern irrigation systems | ||||
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