Design and implementation of an intelligent system for smart garden watering using fuzzy logic

This paper presents an intelligent automated watering system for residential gardens, based on fuzzy logic, an Arduino microcontroller, and Internet of Things (IoT) technology with cloud integration. The system relies on cost-effective and readily available hardware components, including ambient temperature and soil moisture sensors, to continuously monitor garden in real time. A functional prototype was developed to evaluate the practical performance of the proposed solution. Sensor data are processed using fuzzy logic, allowing the system to make adaptive decisions for garden maintenance. According to the input variables, the system automatically activates appropriate actuators, such as a heating bulb, a water pump, or a fan, to optimize garden watering. The system includes an Android mobile application that enables direct Wi-Fi connectivity for real-time monitoring and control. Additionally, a cloud-based platform is integrated to ensure secure data storage, visualization, and remote access. This enables users to monitor irrigation status, and receive alerts even when away from home. Experimental results show that the proposed system reduces irrigation water consumption compared with conventional threshold-based control, while maintaining soil moisture within the optimal range. These results confirm the effectiveness of the proposed solution, highlighting the successful use of the fuzzy logic-based control system in combination with the mobile application. This integration enables adaptive decision-making and efficient monitoring, resulting in a practical and cost-efficient solution for home garden management.