Patents by Inventor Cui SUN

Cui SUN 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 automatically detecting nitrogen content, electronic device and medium
    Patent number: 12687487
    Abstract: A method and a system for automatically detecting nitrogen content, an electronic device and a medium are provided and relate to the field of nitrogen content detection. The method includes: selecting an optimal nitrogen content prediction model from a prediction model base according to a variety and a growth stage of a target crop to obtain a target model; detecting, based on a spectral image of the target crop, a nitrogen content of the target crop by using the target model to obtain a predicted value of the nitrogen content. The optimal nitrogen content prediction model is the model with best performance among a first nitrogen content prediction model constructed based on a hyperspectral vegetation index, a second nitrogen content prediction model constructed based on a sensitive band, and a third nitrogen content prediction model constructed based on a machine learning method.
    Type: Grant
    Filed: June 14, 2024
    Date of Patent: July 21, 2026
    Assignees: Hainan Institute of Zhejiang University, Zhejiang University
    Inventors: Yong He, Xuping Feng, Zhenyu Huang, Ningyuan Yang, Pengcheng Nie, Haiyan Cen, Shuiguang Deng, Chongde Sun, Cui Sun
  • METHOD AND SYSTEM FOR AUTOMATICALLY DETECTING NITROGEN CONTENT, ELECTRONIC DEVICE AND MEDIUM
    Publication number: 20240393235
    Abstract: A method and a system for automatically detecting nitrogen content, an electronic device and a medium are provided and relate to the field of nitrogen content detection. The method includes: selecting an optimal nitrogen content prediction model from a prediction model base according to a variety and a growth stage of a target crop to obtain a target model; detecting, based on a spectral image of the target crop, a nitrogen content of the target crop by using the target model to obtain a predicted value of the nitrogen content. The optimal nitrogen content prediction model is the model with best performance among a first nitrogen content prediction model constructed based on a hyperspectral vegetation index, a second nitrogen content prediction model constructed based on a sensitive band, and a third nitrogen content prediction model constructed based on a machine learning method.
    Type: Application
    Filed: June 14, 2024
    Publication date: November 28, 2024
    Inventors: Yong HE, Xuping FENG, Zhenyu HUANG, Ningyuan YANG, Pengcheng NIE, Haiyan Cen, Shuiguang DENG, Chongde SUN, Cui SUN