Abstract:

In the context of global climate change leading to frequent extreme meteorological disasters, an accurate understanding of the development and evolution of agrometeorological disaster prevention and control technology is crucial for the construction of more resilient disaster prevention and mitigation systems. Based on 927 publicly available patents related to global agrometeorological disaster prevention and control technology from January 1997 to April 2025, this study employed methods such as technology life cycle analysis, social network analysis and topic modeling to reveal development trends, competition and cooperation patterns and innovation evolution path in this field. The results indicated that agrometeorological disaster prevention and control technologies had entered a phase of rapid growth phase since 2014 and are expected to maintain an upward trajectory in the future. China stood out as a leading research and development hub in this field, particularly excelling in the intersection of agrometeorological disaster prevention and control technologies with information and communication technologies. In contrast, the scale of patent applications in the United States, South Korea and Japan had slowed relatively in recent years. In terms of research and development collaboration, cross−institutional, cross−sectoral and cross−national cooperative efforts had yet to achieve significant scale. The research and development ecosystem was characterized by a typical "academia−dominant" structure, with universities and research institutes accounting for 53.61%, while corporate participation remained relatively low at 26.97%. This imbalance, to some extent, hindered the transformation and application of innovative outcomes in practical production. Though technological evolution, the field had evolved from early chemical regulation and basic monitoring to a comprehensive chain of technologies covering pre−disaster warning, in−disaster regulation and post−disaster assessment. Key highlights included meteorological disaster monitoring and warning systems, crop stress resistance improvement technologies and post−disaster assessment mechanisms. In conclusion, this field of technology is currently experiencing a period of active development. In the future, it is essential to further strengthen industry−academia research integration and build collaborative networks. Together, these efforts will drive the development of comprehensive smart agricultural management systems and innovation in agrometeorological disaster prevention and control technologies, thereby supporting global agricultural sustainable development.

Key words: Agrometeorological disaster, Patent analysis, Technology evolution, BERTopic model, Social network analysis, Patsnap