Visualization Analysis of Artificial Intelligence Applications in Rural Areas Based on Citespace

With the rapid development of artificial intelligence, research on its application in rural development is increasing. This paper focuses on the literature on artificial intelligence empowering rural and agricultural development from the Web of Science core from 2014 to 2023. Using CiteSpace software, it conducts a visualization analysis of the literature over the past decade, examining the current status, hotpots, and trends of research from six aspects: publication quantity, disciplinary distribution, institutions, countries and regions distribution, research hotpots, and trends. Conclusion: Regarding the current status, there is rich international research on the application of artificial intelligence in rural areas, with an overall increasing trend in research quantity since 2018. Collaboration networks among institutions have begun to form, with China, the United States, and India conducting more research with higher impact. Regarding research hotpots, machine learning and deep learning are popular application technologies, with digital agriculture and precision agriculture being the main research objects over the past decade. Regarding research trends, integrating artificial intelligence technology with smart rural development and smart agriculture will further deepen.