Precision agriculture utilizes data-driven, site-specific management practices to optimize inputs, including seeds, fertilizers, and irrigation, thereby enhancing yields, reducing costs, and minimizing environmental impacts. This review provides a comprehensive analysis of recent advancements in 3D printing, the Internet of Things (IoT), and artificial intelligence (AI), and their integration for improving farm management. Three-dimensional printing enables the fabrication of customized sensors and components for accurate soil and crop monitoring. IoT-based sensor networks support real-time data collection on key agricultural parameters, while AI and image-processing techniques deliver advanced analytics for early detection of nutrient deficiencies, diseases, and stress conditions. Collectively, these technologies drive the development of automated nutrient and resource management systems that enhance efficiency, sustainability, and decision-making in farming. The review also addresses current limitations, including cost, technical expertise, and durability challenges, while emphasizing prospects and the transformative potential of integrating digital technologies with agricultural practices to achieve environmentally friendly and resource-efficient farming.