This chapter explores the transformative integration of Artificial Intelligence of Things (AIoT) in the development of smart ports, emphasizing its role in emission monitoring and reduction. AIoT, combining artificial intelligence and the Internet of Things, enhances port efficiency, sustainability, and decision-making through real-time data analysis and automation. The discussion highlights key technologies, including predictive analytics, autonomous systems, and IoT-enabled sensors, which optimize operations, reduce emissions, and improve resource allocation. Case studies of ports in Singapore, Busan, and Hong Kong demonstrate successful implementations, showcasing reduced environmental impact, cost savings, and operational enhancements. Addressing challenges such as regulatory compliance, infrastructure integration, and high implementation costs, the chapter underscores the importance of stakeholder collaboration and phased strategies. Future directions advocate for advanced AIoT applications like high-resolution sensor networks, edge computing, and predictive emission controls to meet the increasing demands for sustainable port operations. This work concludes that AIoT is pivotal in redefining maritime logistics and achieving environmental objectives.