The proposed system addresses inefficient water use in agriculture by integrating an Arduino microcontroller, sensors, and data analysis. It irrigates only when needed, using weather forecasts and soil moisture sensors to optimize water delivery. The system conserves water, improves irrigation and resource management, enhances crop productivity, and reduces environmental impact. It features a user-friendly interface for remote monitoring and control and uses a Weather Forecast API to obtain real-time and forecast data from Open Weather via the REST protocol, including temperature, humidity, wind speed, and rain probability. This weather data is combined with soil moisture sensor readings in a Hybrid Fusion Algorithm, which checks both current and predicted conditions to decide when to irrigate. For instance, if the soil is dry but rain is likely, the system delays irrigation to save water. If the soil is dry and no rain is expected, irrigation starts automatically. By combining soil and weather data, the system can make more informed and sustainable decisions. In tests, this approach reduced water use by 27 % and cut unnecessary operations by 18 % compared to traditional systems. The system operates on solar energy, ensuring a sustainable and self-sufficient solution. This system represents an innovative advancement in agricultural technology, supporting more efficient and sustainable farming practices.