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:
Aug. 29, 2023

Filed:

May. 13, 2022
Applicant:

Guangdong Polytechnic Normal University, Guangzhou, CN;

Inventors:

Yu Tang, Guangzhou, CN;

Shaoming Luo, Guangzhou, CN;

Weizhao Chen, Guangzhou, CN;

Jiahao Li, Guangzhou, CN;

Jiepeng Yang, Guangzhou, CN;

Yiqing Fu, Guangzhou, CN;

Jinfei Zhao, Guangzhou, CN;

Xiaodi Zhang, Guangzhou, CN;

Qiwei Guo, Guangzhou, CN;

Xincai Zhuang, Guangzhou, CN;

Huasheng Huang, Guangzhou, CN;

Chaojun Hou, Guangzhou, CN;

Jiajun Zhuang, Guangzhou, CN;

Aimin Miao, Guangzhou, CN;

Assignee:
Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
A01D 46/30 (2006.01); G06T 7/579 (2017.01); A01D 46/26 (2006.01);
U.S. Cl.
CPC ...
A01D 46/30 (2013.01); G06T 7/579 (2017.01); A01D 2046/268 (2013.01);
Abstract

A fruit picking method based on a three-dimensional parameter prediction model for a fruit comprises: performing first-time image acquisition processing on a to-be-picked fruit to obtain a first image; determining a first range; controlling a manipulator to perform first-time moving processing; performing intermittent gas injection treatment to lead to forced vibration of the to-be-picked fruit; performing second-time image acquisition processing many times to obtain a plurality of second images; screening out, by taking the first image as an reference object, two appointed second images deviating from an equilibrium position to the maximum extent; jointly inputting the images into a preset three-dimensional parameter prediction model for the fruit so as to obtain predicted three-dimensional parameters; controlling the manipulator to perform second-time moving processing; and performing cutting processing on a fruit stem position to make the to-be-picked fruit fall onto the manipulator.


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