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:
Mar. 03, 2026

Filed:

Mar. 20, 2025
Applicant:

Institute of Agricultural Economics and Development, Caas, Beijing, CN;

Inventors:

Fantao Kong, Beijing, CN;

Shanshan Cao, Beijing, CN;

Wei Sun, Beijing, CN;

Jifang Liu, Beijing, CN;

Yun Han, Beijing, CN;

Peigang Wei, Beijing, CN;

Yi Wang, Beijing, CN;

Nan MA, Beijing, CN;

Min An, Beijing, CN;

Ruotong Chen, Beijing, CN;

Mengdi Cao, Beijing, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G05D 1/644 (2024.01); A01K 29/00 (2006.01); G05D 1/246 (2024.01); G05D 1/69 (2024.01); G06T 7/593 (2017.01); G06T 7/70 (2017.01); G06T 17/00 (2006.01); G06T 17/05 (2011.01); G06V 20/10 (2022.01); G06V 20/17 (2022.01); G06V 40/10 (2022.01); G06V 40/20 (2022.01); G05D 105/50 (2024.01); G05D 105/80 (2024.01); G05D 107/20 (2024.01); G05D 109/25 (2024.01); G05D 111/10 (2024.01);
U.S. Cl.
CPC ...
G05D 1/644 (2024.01); A01K 29/005 (2013.01); G05D 1/246 (2024.01); G05D 1/69 (2024.01); G06T 7/593 (2017.01); G06T 7/70 (2017.01); G06T 17/005 (2013.01); G06T 17/05 (2013.01); G06V 20/17 (2022.01); G06V 20/188 (2022.01); G06V 40/10 (2022.01); G06V 40/20 (2022.01); G05D 2105/50 (2024.01); G05D 2105/80 (2024.01); G05D 2107/21 (2024.01); G05D 2109/25 (2024.01); G05D 2111/10 (2024.01); G06T 2207/10012 (2013.01); G06T 2207/10028 (2013.01); G06T 2207/10032 (2013.01); G06T 2207/30188 (2013.01); G06T 2207/30241 (2013.01);
Abstract

The present disclosure discloses an intelligent management method and management system of a natural pasture using multi-machine collaboration of UAVs, which belongs to the technical field of UAVs. The method includes: by a UAV group, obtaining pasture environment information, automatically planning a global grazing path, and performing automatic driving and grazing according to a user-defined grazing time, a starting point and an end point; during the process, collecting and analyzing herd activity images, and planning local grazing paths to assist in the automatic driving; and meanwhile, collecting vegetation coverage image data of a grazing area to further assist in the grazing.


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