The present study investigates cutting-edge developments in agricultural technologies, specifically focusing on the integration of the Internet of Things (IoT), artificial intelligence (AI), and robotics in farming practices. This research addresses critical challenges facing the agricultural sector, including population growth, climate change, and resource scarcity. The adoption of global positioning system (GPS) technology, remote sensing techniques, and autonomous equipment has significantly enhanced agricultural efficiency, thereby reducing environmental impacts. However, the implementation of these advanced technologies in developing regions remains limited due to high costs, inadequate infrastructure, and a shortage of skilled personnel. This investigation reveals key findings in agricultural technology research, including the participation of both developed and developing nations, the emergence of prominent research institutions in the field, and the global distribution of research output, with notable contributions from China, the United States, and India. The study concludes that advancing sustainable agriculture requires interdisciplinary and international collaboration. Furthermore, it highlights emerging critical issues, particularly the disconnect between technology developers and farmers, emphasizing the importance of effective technology dissemination among policymakers, innovators, and agricultural practitioners. The research identifies significant trends, themes, and knowledge gaps that may inform future investigations, studies, and product development initiatives. The insights derived from this work are expected to be valuable for decision-makers in related research areas, particularly in terms of technology adoption strategies and fostering proactive collaboration in global agricultural innovation efforts.