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:
Jan. 11, 2022

Filed:

May. 20, 2020
Applicant:

Zhejiang University, Hangzhou, CN;

Inventors:

Yong He, Hangzhou, CN;

Zhengjun Qiu, Hangzhou, CN;

Lei Zhou, Hangzhou, CN;

Nan Zhao, Hangzhou, CN;

Assignee:

Zhejiang University, Hangzhou, CN;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G01N 33/00 (2006.01); G06T 7/00 (2017.01); G01N 21/17 (2006.01); G06N 3/08 (2006.01); H04N 5/30 (2006.01);
U.S. Cl.
CPC ...
G01N 33/0098 (2013.01); G01N 21/17 (2013.01); G06N 3/08 (2013.01); G06T 7/0014 (2013.01); G06T 7/97 (2017.01); H04N 5/30 (2013.01); G01N 2021/1765 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30188 (2013.01);
Abstract

The present invention discloses a method and an apparatus for measuring leaf nitrogen content (LNC), and belongs to the spectral analysis and artificial intelligence (AI) field. The method includes the following steps: (1) obtaining a single-band image of a target leaf illuminated by a light source in a single feature band; (2) repeating step (1), to collect image information in four feature bands; (3) combining the collected images in the four feature bands into a four-channel spectral image; (4) training a deep learning model by using the spectral image and a corresponding nitrogen content label, to obtain a nitrogen content prediction model; (5) transplanting the trained nitrogen content prediction model into an AI control system; (6) collecting information about a to-be-predicted leaf sample, predicting nitrogen content by using an AI sensor equipped with the AI control system, and outputting the predicted nitrogen content.


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