Enhancing Urban Forest Sustainability Using IoT and Gradient Boosting for Proactive Tree Care and Environmental Management

Abstract

Urban forests are essential for augmenting biodiversity, alleviating climate change, and boosting the quality of urban life. Challenges like growing urbanization and environmental deterioration need proactive and sustainable management techniques. This research presents an Internet of Things (IoT)-enabled system combined with Gradient Boosting for real-time monitoring and predictive analysis of urban forests. IoT sensors perpetually gather data on essential elements such soil moisture, temperature, air quality, and markers of tree health. The Gradient Boosting technique is used to examine these data streams, demonstrating proficiency in predictive modeling and managing intricate environmental information. Technology provides early identification of tree stress, forecasts health trends, and supports data-informed actions to enhance urban forest management. Initial findings indicate the system's capacity to optimize resource distribution, decrease maintenance expenses, and bolster urban forest resilience. This method utilizes IoT and sophisticated AI to promote sustainable urban development and enhance environmental health. It emphasizes the revolutionary potential of combining IoT with Gradient Boosting to guarantee urban forest sustainability and proactive environmental management.