Patents by Inventor Yangjun SHI

Yangjun SHI has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Rapid drought monitoring and identification method for winter wheat based on UAV measurements of leaf area index
    Patent number: 12494057
    Abstract: A rapid monitoring and identification method for winter wheat drought levels includes: 1) obtaining multispectral images and ground-measured LAI through UAV-based multi-payload low-altitude remote sensing technology, and calculating vegetation indices such as Normalized Difference Vegetation Index (NDVI), Difference Vegetation Index (DVI), Ratio Vegetation Index (RVI), Enhanced Vegetation Index (EVI), Optimized soil adjusted vegetation index (OSAVI) and Transformed Chlorophyll Absorption Reflectance Index; 2) establishing regression equations between the calculated vegetation indices and measured LAI for different growth stages, and selecting the optimal model equation for each growth stage; 3) using the optimal model equation to invert the LAI of winter wheat at various growth stages, and calibrating the LAI thresholds for different drought stress levels; 4) acquiring the multispectral images of target plot through real-time monitoring, calculating the required vegetation indices, inverting to obtain the LAI
    Type: Grant
    Filed: December 25, 2024
    Date of Patent: December 9, 2025
    Inventors: Wenlong Song, Hongjie Liu, Hanyu Liu, Yangjun Shi, Xuecheng Xing, Yizhu Lu, Jian Li, Lin Lin, Wenjing Lu, Xiuhua Chen, Rongjie Gui
  • RAPID DROUGHT MONITORING AND IDENTIFICATION METHOD FOR WINTER WHEAT BASED ON UAV MEASUREMENTS OF LEAF AREA INDEX
    Publication number: 20250131716
    Abstract: A rapid monitoring and identification method for winter wheat drought levels includes: 1) obtaining multispectral images and ground-measured LAI through UAV-based multi-payload low-altitude remote sensing technology, and calculating vegetation indices such as Normalized Difference Vegetation Index (NDVI), Difference Vegetation Index (DVI), Ratio Vegetation Index (RVI), Enhanced Vegetation Index (EVI), Optimized soil adjusted vegetation index (OSAVI) and Transformed Chlorophyll Absorption Reflectance Index; 2) establishing regression equations between the calculated vegetation indices and measured LAI for different growth stages, and selecting the optimal model equation for each growth stage; 3) using the optimal model equation to invert the LAI of winter wheat at various growth stages, and calibrating the LAI thresholds for different drought stress levels; 4) acquiring the multispectral images of target plot through real-time monitoring, calculating the required vegetation indices, inverting to obtain the LAI
    Type: Application
    Filed: December 25, 2024
    Publication date: April 24, 2025
    Inventors: Wenlong SONG, Hongjie LIU, Hanyu LIU, Yangjun SHI, Xuecheng XING, Yizhu LU, Jian LI, Lin LIN, Wenjing LU, Xiuhua CHEN, Rongjie GUI