Advanced technologies are increasingly being integrated into modern agriculture to maximize crop yields and reduce operational costs. This paper presents the design and implementation of an AI-enhanced intelligent transplantation machine based on the Internet of Things (IoT). The proposed system utilizes smart sensors and an automated control unit to optimize transplantation parameters such as depth, spacing, and orientation based on realtime environmental data. Preliminary testing and simulations indicate a potential increase in seedling survival rate by 30% and a 25% reduction in transplantation time. This research introduces a scalable, sustainable solution aligned with the objectives of precision agriculture and highlights the potential for further improvements through AI-driven predictive analytics.