Rice diseases represent a major challenge to global food security. The use of Artificial Intelligence (AI) in the detection and treatment of these diseases offers innovative perspectives to improve crop productivity and resilience. This study presents a bibliometric analysis of current research on the application of AI in the field of rice crop health from 2019 to June 2024. The data used in this study comes from the Scopus database and is presented using Biblioshiny software and visualization technologies. From January 2019 to June 2024, the literature in this field grew at an average rate of 46.14%. From the analysis of the 543 collected documents, India is the most productive country, accounting for 58% of total publications and 23% of total citations. The Chitkara University Institute of Engineering and Technology is the most productive research institute, with 29 publications. Geographically, most of this research is conducted in India, China, Bangladesh, Malaysia, USA, Saudi Arabia, Thailand, Ethiopia, Australia, and Indonesia. We also examined the main bibliometric reviews on precision agriculture with Artificial Intelligence (AI), highlighting existing gaps and future research opportunities. This study contributes to the understanding of the field’s evolution and proposes insights to guide future research efforts in this crucial area of agriculture of precision.