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. 17, 2024

Filed:

Nov. 05, 2023
Applicant:

Wuhan University, Hubei, CN;

Inventors:

Zhaocong Wu, Hubei, CN;

Junhan Luo, Hubei, CN;

Haoyu Lin, Hubei, CN;

Siqing Zhang, Hubei, CN;

Zhixiong Dai, Hubei, CN;

Weihua Lin, Hubei, CN;

Yixian Yue, Hubei, CN;

Assignee:

WUHAN UNIVERSITY, Hubei, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 20/10 (2022.01); G06V 20/13 (2022.01);
U.S. Cl.
CPC ...
G06V 20/188 (2022.01); G06V 20/13 (2022.01); G06V 20/194 (2022.01);
Abstract

The monitoring method for wheat kernel moisture content in-field based on PlanetScope satellite imagery in this disclosure comprises: (1) data collection and database establishment; (2) feature engineering: constructing various broad-band indices on the original bands provided by PlanetScope to expand the feature domain, and evaluate the importance of each feature to rank the features based on the comprehensive importance calculated by permutation importance based on regressors; (3) model construction: progressively adding the spectral features one by one as independent variables to the GBDT model according to the ranking results, and screen out the optimal spectral feature domain and inversion model for wheat kernel moisture content; (4) wheat kernel moisture content mapping. The disclosure utilizes machine learning inversion models based on spectral features and PlanetScope satellite imagery to obtain the wheat kernel moisture content at any position of the target farmland.


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