THEORETICAL AND PRACTICAL FOUNDATIONS OF DEVELOPMENT OF SMART IRRIGATION SYSTEMS BASED ON ARTIFICIAL INTELLIGENCE AND IOT TECHNOLOGIES

The article analyzes the theoretical and practical foundations of the development of smart irrigation systems based on artificial intelligence (AI) and IoT technologies. Effective use of water resources, increasing productivity and ensuring environmental sustainability are among the pressing issues in modern agriculture. Traditional irrigation methods have problems such as water waste, misallocation of resources and insufficient automation of the monitoring system. Therefore, real-time monitoring of soil moisture, climate indicators and plant needs through smart systems based on artificial intelligence algorithms and IoT sensors, as well as the introduction of automatic control mechanisms, are of great importance. The study analyzes existing scientific approaches, technological capabilities and practical implementation experiences and substantiates the effectiveness of the integrated system. The results show the possibilities of saving water resources and increasing the efficiency of agricultural production through the widespread introduction of smart irrigation systems.