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:
May. 07, 2024

Filed:

Oct. 20, 2023
Applicant:

China Agricultural University, Beijing, CN;

Inventors:

Yaoguang Wei, Beijing, CN;

Dong An, Beijing, CN;

Han Li, Beijing, CN;

Jincun Liu, Beijing, CN;

Daoliang Li, Beijing, CN;

Yingyi Chen, Beijing, CN;

Assignee:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); A01G 7/04 (2006.01); A01G 22/15 (2018.01); G06T 7/11 (2017.01); G06T 7/62 (2017.01); G06T 7/90 (2017.01); G06V 10/26 (2022.01); G06V 10/762 (2022.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01); A01G 31/02 (2006.01);
U.S. Cl.
CPC ...
G06T 7/0016 (2013.01); A01G 7/045 (2013.01); A01G 22/15 (2018.02); G06T 7/11 (2017.01); G06T 7/62 (2017.01); G06T 7/90 (2017.01); G06V 10/26 (2022.01); G06V 10/763 (2022.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01); A01G 31/02 (2013.01); G06T 2207/10024 (2013.01); G06T 2207/10028 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30188 (2013.01);
Abstract

The present disclosure relates to the technical field of growth environment control for plants, and provides a light regulation method, system, and apparatus for a growth environment of leafy vegetables. The method includes: obtaining a growth environment image and growth environment light parameters of leafy vegetables; inputting the growth environment image into an image segmentation model to obtain an initial pixel segmentation map; determining a leaf area of the leafy vegetables according to the initial pixel segmentation map by using a Class Activation Mapping (CAM)-K algorithm; inputting the leaf area and the growth environment light parameters of the leafy vegetables into a leafy vegetable growth index prediction model to obtain a growth index of the leafy vegetables; adjusting the growth environment light parameters according to the growth index of the leafy vegetables. This disclosure achieves automated and intelligent control of light conditions in the growth environment of leafy vegetables.


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