IoT System Implementation for Automatic Irrigation System with Sustainable Independed Micro Grid

The need for effective and economical irrigation techniques has increased dramatically, especially in areas with few freshwater supplies. Water waste is still a major issue, mostly because of ineffective methods of watering plants. This research presents a clever method to maximize plant watering as a reaction. A thorough database outlining the different plant species' daily water needs is included into our suggested system. Based on real-time information such as the time of day, humidity levels, and soil moisture, it decides when to water. This creative method encourages wise energy use while simultaneously protecting valuable freshwater via prudent use. Our approach uses a combination of sensors and Internet of Things (IoT) technologies to collect plant data in a systematic manner, assess watering requirements, and then apply effective watering techniques. An intuitive mobile application interface makes adoption easier and allows for continuous irrigation system management and monitoring. The study's findings are particularly repeatable since the used sensors are readily available and reasonably priced. Even though the experimental validation is carried out on a smaller scale, such a tunnel farm, the results show that the suggested method may be used to bigger areas for efficient irrigation. Tests conducted in comparison with comparable sensor-based irrigation systems and manual approaches consistently demonstrate our method's higher performance. This study establishes the groundwork for sustainable and scalable irrigation techniques while simultaneously addressing the issue of worldwide water shortage.