During an interview with representatives from the Chinese Academy of Sciences’ Aerospace Information Innovation Research Institute, it was revealed that the first domestically developed intelligent monitoring and early warning system for plant pests and diseases, named “Huiyan,” was launched at the Fifth Remote Sensing Conference on Vegetation Diseases and Pests held in Hangzhou on the 19th. This initiative, a collaboration involving the Academy, Hangzhou Electronic Science and Technology University, Hangzhou Zhongke Aerospace Digital Research Institute, and Anhui University, integrates artificial intelligence, aerospace information, and plant protection theories, addressing the current challenges of lacking key domestic detection devices and the ineffective utilization of geographical spatial information in the field of plant protection.
The “Huiyan” system incorporates several advanced technologies, including near-Earth intelligent in-situ detection, low-altitude smart remote sensing, and large-scale intelligent monitoring and warning systems. It effectively overcomes significant industry pain points such as the difficulties in traditional field survey identification, low precision in low-altitude monitoring, and limited regional warning capabilities.
At the near-Earth level, a chip-level intelligent detection device capable of rapid and accurate identification of pests and diseases has been developed using integrated spectral information and AI detection algorithms. This innovation caters to practical plant protection scenarios. At the plot level, a dedicated drone solution for low-altitude pest and disease inspection has been created, allowing for dynamic monitoring and efficient management of pest identification at the plot scale. At the regional scale, a multi-scale monitoring and early warning technology system for pests and diseases has been constructed. This system leverages remote sensing, meteorological, and plant protection data to monitor over 20 significant agricultural and forestry pests and diseases on a global, continental, national, and hotspot regional level. It serves as a robust technological support for proactive pest warning globally, promoting a shift from passive control to active prevention.
The successful development and application of the “Huiyan” system signify a transformative leap in pest control technologies fueled by the integration of AI and aerospace information. Through the intelligent development of hardware, algorithm models, and structural systems, traditional plant protection reporting is being empowered with digital intelligence. This transformation holds the potential to gradually reshape existing plant protection monitoring and control methodologies, enabling real-time multi-scale monitoring and early warnings for significant pests and diseases. Such advancements are crucial for guiding precise and environmentally friendly pest control efforts on a larger scale.
