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. 15, 2026

Filed:

Dec. 01, 2023
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Tushar Agrawal, West Fargo, ND (US);

Jeremy R. Fox, Georgetown, TX (US);

Fang Lu, Billerica, MA (US);

Sarbajit K. Rakshit, Kolkata, IN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
B07C 5/34 (2006.01); B22F 10/34 (2021.01); B22F 10/70 (2021.01); B29C 64/314 (2017.01); B29C 64/357 (2017.01); B29C 64/386 (2017.01); B33Y 40/10 (2020.01); B33Y 50/00 (2015.01); B28B 1/00 (2006.01); B29K 105/26 (2006.01);
U.S. Cl.
CPC ...
B07C 5/34 (2013.01); B22F 10/34 (2021.01); B22F 10/70 (2021.01); B29C 64/314 (2017.08); B29C 64/357 (2017.08); B29C 64/386 (2017.08); B33Y 40/10 (2020.01); B33Y 50/00 (2014.12); B07C 2501/0054 (2013.01); B28B 1/001 (2013.01); B29K 2105/26 (2013.01);
Abstract

Systems and methods are provided for recovering LED light in indoor multi-level farms. A plurality of cameras and sensors capture in real time in a vertical farm environment a plurality of camera images and sensor data. The camera images include physical images of the vertical farm environment, and the sensor data includes light data. The camera images and sensor data are analyzed to identify a pattern of light origin and direction in the vertical farm environment. The plant characteristics are identified based on comparing the captured camera images, using image recognition, against a model. Based on the identified plant characteristics, manipulating the light data. The plant characteristics include plant species growth state and general health. The light is manipulated by breaking it into component visible light wavelengths. The model predicts optimizing the redirecting of the optimal wavelengths for improved plant growth.


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