This study discusses a soil temperature and humidity monitoring system based on the Internet of Things (IoT) for automatic plant irrigation. The results of the study indicate that this system is effective and yields positive outcomes. By relying on real-time data collected from sensors, the system can optimize water usage by scheduling and adjusting the amount of irrigation according to the plants' needs, thus enhancing irrigation efficiency. Users can also control and monitor their plants' conditions anytime and anywhere through a mobile application, providing greater convenience and flexibility in plant care. This IoT-based system has proven to be reliable in transmitting data between hardware (sensors and actuators) and software (mobile applications), ensuring consistent and stable performance. The study notes that the error rate for the soil humidity sensor is 0.25%, while the temperature sensor has an error rate of 0.019%, demonstrating a high level of accuracy.
                        
                        
                        
                        
                            
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