Agriculture consumes nearly 70% of the world’s freshwater and faces growing challenges from climate change, population growth, and diminishing water resources. Traditional irrigation practices often result in water inefficiency and lower crop yields. This paper proposes an Internet of Things (IoT)-enabled smart irrigation system integrated with the FAO’s AquaCrop model to optimize water management. The system utilizes real-time data on soil moisture, humidity, temperature, and weather conditions to enhance irrigation scheduling and crop planning. Automated sensors and actuators regulate water flow precisely, reducing human intervention and error. By combining data analytics with adaptive control, the system dynamically responds to environmental and seasonal variations. Suitable for both small- and large-scale farming, it ensures efficient resource use and sustainable productivity. The proposed approach demonstrates how IoT and crop modeling can together revolutionize irrigation efficiency and support climate-resilient agriculture.