Revolutionizing Plant Care: Developing a real-time monitoring device for plant care and home gardening

Abstract - The Plant Guardian AI project introduces an innovative approach to plant care, leveraging the synergy of Internet of Things sensors, algorithms, and machine learning techniques to create an intelligent gardening system. By developing a smart gardening device capable of real-time plant health monitoring, and personalized care recommendations, this project is set to empower both beginners and experienced home gardeners. The system includes of hardware components such as microcontrollers, sensors, and actuators to collect real-time data on key environmental factors, such as soil moisture, temperature, humidity, and light intensity. The data is then processed and analyzed utilizing machine learning models to detect plant health issues, and predict watering and fertilization requirements, and provide with tailored care recommendations to users. Furthermore, the project offers a user-friendly web application that allows users access to real-time insights, historical trends, and proactive alerts, helping them to make well-informed decisions and take prompt action to ensure optimal plant health. Key Words: IoT, Machine Learning, Plant Health Monitoring, Remote Plant Care