Patents by Inventor Hongzhu Yang

Hongzhu Yang 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).

  • Method and system for hyperspectral inversion of phosphorus content of rubber tree leaves
    Patent number: 11521073
    Abstract: A method is provided for hyperspectral inversion of a phosphorus content of rubber tree leaves. The method includes: acquiring hyperspectral data of to-be-detected rubber tree leaves; extracting key wavelengths of the rubber tree leaves according to the hyperspectral data and a pre-established wavelength extraction model, where the key wavelengths are related to the phosphorus content of the rubber tree leaves, and the pre-established wavelength extraction model is obtained by learning and training hyperspectral sample data and sample phosphorus content data pairs in a pre-established sample database by adopting a competitive adaptive reweighted sampling (CARS) algorithm and a successive projection algorithm (SPA); and inputting the key wavelengths into a pre-established phosphorus content prediction model to calculate the phosphorus content of the to-be-detected rubber tree leaves.
    Type: Grant
    Filed: April 1, 2020
    Date of Patent: December 6, 2022
    Assignees: RUBBER RESEARCH INSTITUTE, CHINESE ACADEMY OF TROPICAL AGRICULTURAL SCIENCES, INSTITUTE OF SCIENTIFIC AND TECHNICAL INFORMATION, CHINESE ACADEMY OF TROPICAL AGRICULTURAL SCIENCES
    Inventors: Pengtao Guo, Maofen Li, Zhengzao Cha, Hongzhu Yang, Meirong Bei, Peisong Zhang, Wei Luo, Wei Yao
  • METHOD AND SYSTEM FOR HYPERSPECTRAL INVERSION OF PHOSPHORUS CONTENT OF RUBBER TREE LEAVES
    Publication number: 20210056424
    Abstract: A method is provided for hyperspectral inversion of a phosphorus content of rubber tree leaves. The method includes: acquiring hyperspectral data of to-be-detected rubber tree leaves; extracting key wavelengths of the rubber tree leaves according to the hyperspectral data and a pre-established wavelength extraction model, where the key wavelengths are related to the phosphorus content of the rubber tree leaves, and the pre-established wavelength extraction model is obtained by learning and training hyperspectral sample data and sample phosphorus content data pairs in a pre-established sample database by adopting a competitive adaptive reweighted sampling (CARS) algorithm and a successive projection algorithm (SPA); and inputting the key wavelengths into a pre-established phosphorus content prediction model to calculate the phosphorus content of the to-be-detected rubber tree leaves.
    Type: Application
    Filed: April 1, 2020
    Publication date: February 25, 2021
    Inventors: Pengtao GUO, Maofen Li, Zhengzao Cha, Hongzhu Yang, Meirong Bei, Peisong Zhang, Wei Luo, Wei Yao