2024, Vol. 4, Issue 2, Part C

The main objective of this research is to analyze how AI applications can enhance urban horticultural practices and contribute to climate-resilient urban ecosystems. A mixed-methods approach was used, including an extensive literature review of studies from 2010 to 2024, meta-analysis of current technologies in smart cities, and case studies from cities integrating AI in green planning. The findings show that AI integration leads to improved plant health monitoring, precision irrigation, predictive modeling of urban biodiversity, and better spatial planning of green zones. AI also enables real-time response to climatic shifts, thereby strengthening ecosystem services such as carbon sequestration, cooling effects, and stormwater management. The article concludes by emphasizing the need for cross-disciplinary collaboration, ethical use of data, and scalable AI-driven models tailored to regional ecosystems. Future directions highlight integrating indigenous plant knowledge, IoT-driven horticulture, and citizen science platforms to build more inclusive and adaptive green urban futures.