Area of research
Media Technology · Atmospheric Science
Research interest
Research interests include Hyperspectral imaging, Computer science, Preprocessor, Smoothing, Quality (philosophy), and Principal component analysis.
Nitrogen‑phosphorus responses and Vis/NIR prediction in fresh tea leaves
Research on the mechanism of core acupoints in electroacupuncture for functional constipation based on data mining and network acupuncture
Research on the Population Flow and Mixing Characteristics of Pelleted Vegetable Seeds Based on the Bonded-Particle Model
Research Review on Quality Detection of Fresh Tea Leaves Based on Spectral Technology
Hyperspectral Prediction Model of Nitrogen Content in Citrus Leaves Based on the CEEMDAN–SR Algorithm
Hyperspectral Inversion Model of Relative Heavy Metal Content in Pennisetum sinese Roxb via EEMD-db3 Algorithm
Fabrication and Performance of Graphene Flexible Pressure Sensor with Micro/Nano Structure