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:
Jun. 08, 2021

Filed:

Nov. 06, 2019
Applicant:

Nanjing Agricultural University, Jiangsu, CN;

Inventors:

Yan Zhu, Nanjing, CN;

Hengbiao Zheng, Nanjing, CN;

Tao Cheng, Nanjing, CN;

Xia Yao, Nanjing, CN;

Yongchao Tian, Nanjing, CN;

Weixing Cao, Nanjing, CN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/62 (2017.01); G01N 21/84 (2006.01); A01G 22/22 (2018.01); B64C 39/02 (2006.01); G01N 21/25 (2006.01); G06T 5/00 (2006.01); G06T 7/40 (2017.01);
U.S. Cl.
CPC ...
G01N 21/84 (2013.01); A01G 22/22 (2018.02); B64C 39/02 (2013.01); G01N 21/25 (2013.01); G06T 5/002 (2013.01); G06T 5/006 (2013.01); G06T 7/40 (2013.01); G06T 7/62 (2017.01); B64C 2201/123 (2013.01); G01N 2021/8466 (2013.01); G06T 2207/10036 (2013.01); G06T 2207/30188 (2013.01);
Abstract

A method for estimating the aboveground biomass of rice based on multi-spectral images of an unmanned aerial vehicle (UAV), including: normatively collecting UAV multi-spectral image data of rice canopy and ground measured biomass data; after collection, preprocessing images, extracting reflectivity and texture feature parameters, calculating a vegetation index, and constructing a new texture index; and by stepwise multiple regression analysis, integrating the vegetation index and the texture index to estimate rice biomass, and establishing a multivariate linear model for estimating biomass. A new estimation model is verified for accuracy by a cross-validation method. The method has high estimation accuracy and less requirements on input data, and is suitable for the whole growth period of rice. Estimating rice biomass by integrating UAV spectrum and texture information is proposed for the first time, and can be widely used for monitoring crop growth by UAV remote sensing.


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