Researchers from the Aerospace Information Research Institute of the Chinese Academy of Sciences (AIRCAS) have recently completed field validation of China’s first intelligent multi-parameter wind turbine diagnostic system, achieving non-stop, non-contact, intelligent, and real-time health monitoring of wind turbine blades. The system fills a key technological gap in intelligent operation and maintenance of wind power equipment in China.

A research team led by Dr. WANG Zhenyou, Research Fellow at the Aerospace Information Research Institute, Chinese Academy of Sciences (AIRCAS), has developed a microscopic time-gated Raman spectrometer that enables non-destructive, micrometer-scale chemical analysis of fragile archaeological ivory—even when strong fluorescence would normally obscure the signal. The study was published in ACS Applied Materials & Interfaces.

A new study published in Smart Agricultural Technology introduces a zero-shot learning (ZSL) framework for maize cob phenotyping. This innovative pipeline enables accurate extraction of geometric traits and yield estimation in both laboratory and field environments without the need for model retraining.