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:
Sep. 27, 2022

Filed:

Mar. 12, 2019
Applicant:

Zhejiang University, Zhejiang, CN;

Inventors:

Fang Cheng, Zhejiang, CN;

Jun Zhang, Zhejiang, CN;

Limin Dai, Zhejiang, CN;

Assignee:

ZHEJIANG UNIVERSITY, Zhejiang, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01N 21/88 (2006.01); G01N 21/31 (2006.01); G01N 21/84 (2006.01);
U.S. Cl.
CPC ...
G01N 21/8851 (2013.01); G01N 21/31 (2013.01); G01N 2021/8466 (2013.01); G01N 2021/8854 (2013.01); G01N 2021/8887 (2013.01);
Abstract

The invention discloses a method for identifying frostbite condition of grain seeds using the spectral feature wavebands of the grain seed embryo hyperspectral images. At first, hyperspectral image of the grain seed in the embryo side is collected, and the hyperspectral image in the embryo region of the grain seed is obtained. Then the average spectra is calculated and the wavebands containing noise are eliminated, the spectral feature wavebands are extracted by using related algorithm and the spectra value corresponding with the waveband is obtained. Next, the feature waveband spectral value and the category label of the known frostbite category grain seed are input into the classification model for obtaining the optimal training classification model. Finally, the feature waveband spectral value of each unknown frostbite category grain seed is input into the established model, the frostbite condition of seed is identified.


Find Patent Forward Citations

Cheng, Fang. (2022). Method for identifying frostbite condition of grain seeds using spectral feature wavebands of seed embryo hyperspectral images (U.S. Patent No. 11454594). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/11454594

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