A PROPOSED FRAMEWORK TO IMPROVE DECISION-MAKING IN THE DEPLOYMENT OF MODERN IRRIGATION TECHNIQUES USING BUSINESS INTELLIGENCE

Abstract

The research problem highlights that Egypt is suffering recently from water shortage due to the severe scarcity of water. Regarding that, unequal water distribution, misuse of water resources, and inefficient irrigation techniques were playing 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 running out of water in Egypt by 2025. Thus, a survival strategy is required for preserving and developing water resources. This study applies 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. The study focuses on determining the cost of modern irrigation system implementation scenarios and the best scenario for implementing various irrigation systems, as well as their cost. The findings tool aids to improve decision-making by enabling the transformation of raw data into useful information, providing good visualization of data, and identifying trends. The developed BI tool is supporting strategic water resources management and helps in guiding the experts to determine the best scenario in applying modern irrigation systems in Egypt.