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:
Oct. 01, 2024

Filed:

Jan. 14, 2022
Applicant:

Zhejiang University, Hangzhou, CN;

Inventors:

Xuping Feng, Hangzhou, CN;

Yong He, Hangzhou, CN;

Jinnuo Zhang, Hangzhou, CN;

Assignee:

Zhejiang University, Hangzhou, CN;

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06V 10/77 (2022.01); G06T 7/00 (2017.01); G06T 7/136 (2017.01); G06V 10/26 (2022.01); G06V 20/68 (2022.01);
U.S. Cl.
CPC ...
G06V 10/7715 (2022.01); G06T 7/0012 (2013.01); G06T 7/136 (2017.01); G06V 10/26 (2022.01); G06V 20/68 (2022.01); G06T 2207/30096 (2013.01);
Abstract

A method and system for screening spectral indexes of rice resistant to bacteria. The method includes: processing spectral data of a test sample by a threshold segmentation algorithm to obtain average spectral information of each spectral image and a proportion of lesions corresponding to each spectral image; training a deep learning algorithm model based on a self-attention mechanism by using the average spectral information of each spectral image and the proportion of the corresponding lesions to construct a regression model for evaluating an area of the lesions; determining an optimal band combination and a weight value corresponding to each band in the optimal band combination based on the regression model for evaluating the area of the lesions, and then determining the spectral indexes; and identifying differences between rice of different genotypes at different times of infection by using the spectral indexes, and screening rice varieties resistant to bacterial blight.


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