Abstract
Abstract: This paper presents a smart plant care system developed to address the challenges of indoor plant maintenance for busy or novice plant owners. Leveraging AI sensors and IoT technology, the system continuously monitors crucial environmental parameters—soil moisture, temperature, and light exposure—to optimize plant health. Real-time data analytics and machine learning algorithms analyze this data, predicting care needs and automating responses like watering adjustments, with minimal user input. The user-friendly mobile app interface provides actionable insights, enabling remote monitoring and proactive care. This report covers the system’s layered architecture, practical benefits, implementation challenges, and potential for integration with smart home systems. It also explores future advancements in AI-driven plant care, emphasizing the potential of this technology to transform indoor gardening by making it more accessible, efficient, and precise.
Published Version
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