Iraq is a country suffering from severe water scarcity, highlighting in response to climate change, increasing drought, and declining rainfall. Therefore, adopting water management technologies has become essential sufficient supplies. Waste in, this study focuses on finding solutions to this problem by providing an in-based irrigation systems. It also discusses all the theoretical aspects of using artificial intelligence (AI) in agricultural irrigation processes and supports this perspective with selected practical experiments. This research aims to study and implement smart irrigation systems using artificial intelligence, relying on weather data and soil sensors, to achieve higher water use efficiency. Modern irrigation can reduce crop productivity, lower overall operating costs, protect the environment, contribute in agriculture, and maximize crop yields. This research review artificial intelligence in smart irrigation management. It begins by using a soil moisture and temperature sensor in a test area, then processing this data with an Arduino Mega 256microcontroller to develop a suitable irrigation schedule based on the collected data, aiming appropriate. The results of this study, conducted based on limited research findings and previous practical experiments, demonstrate that AI is no longer merely a technological tool. Rather, it is a powerful tool that availability transform AI from a purely technological initiative into a practical reality. Ultimately, AI represents a new horizon for smart and environmentally conscious water management. It redefines the relationship between technology and sustainability and offers humanity a rare opportunity to avert future water scarcity.