The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jul. 21, 2026

Filed:

Jun. 14, 2024
Applicants:

Hainan Institute of Zhejiang University, Sanya City, CN;

Zhejiang University, Hangzhou City, CN;

Inventors:

Yong He, Sanya City, CN;

Xuping Feng, Hangzhou City, CN;

Zhenyu Huang, Hangzhou City, CN;

Ningyuan Yang, Hangzhou City, CN;

Pengcheng Nie, Sanya City, CN;

Haiyan Cen, Sanya City, CN;

Shuiguang Deng, Sanya City, CN;

Chongde Sun, Sanya City, CN;

Cui Sun, Sanya City, CN;

Assignees:

Hainan Institute of Zhejiang University, Sanya City, CN;

Zhejiang University, Hangzhou City, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01N 21/31 (2006.01); G01N 21/84 (2006.01); G01N 33/00 (2006.01); G06V 10/58 (2022.01); G06V 10/774 (2022.01); G06V 20/10 (2022.01);
U.S. Cl.
CPC ...
G01N 21/31 (2013.01); G01N 21/84 (2013.01); G01N 33/0098 (2013.01); G06V 10/58 (2022.01); G06V 10/774 (2022.01); G06V 20/188 (2022.01); G06V 20/194 (2022.01); G01N 2021/8466 (2013.01);
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.


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