US 12,437,392 B2
Mobile sensing system for crop monitoring
Thomas James Matarazzo, Astoria, NY (US); Mohammad Mahmoudzadehvazifeh, Medford, MA (US); and Ian Shaun Seiferling, Somerville, MA (US)
Assigned to AdaViv, Somerville, MA (US)
Appl. No. 17/758,411
Filed by ADAVIV, Somerville, MA (US)
PCT Filed Jan. 5, 2021, PCT No. PCT/US2021/012183
§ 371(c)(1), (2) Date Jul. 6, 2022,
PCT Pub. No. WO2021/141896, PCT Pub. Date Jul. 15, 2021.
Claims priority of provisional application 62/967,227, filed on Jan. 29, 2020.
Claims priority of provisional application 62/957,644, filed on Jan. 6, 2020.
Claims priority of provisional application 62/957,640, filed on Jan. 6, 2020.
Prior Publication US 2023/0026679 A1, Jan. 26, 2023
Int. Cl. G06T 7/00 (2017.01); A01B 69/04 (2006.01); A01M 7/00 (2006.01); B64C 39/02 (2023.01); G01N 33/00 (2006.01); G05D 1/00 (2006.01); G06F 3/04847 (2022.01); G06V 10/70 (2022.01); G06V 10/77 (2022.01); G06V 10/774 (2022.01); G06V 20/10 (2022.01); B64U 101/00 (2023.01); G06V 10/82 (2022.01)
CPC G06T 7/0012 (2013.01) [A01B 69/008 (2013.01); A01M 7/0089 (2013.01); B64C 39/024 (2013.01); G01N 33/0098 (2013.01); G05D 1/0219 (2013.01); G06F 3/04847 (2013.01); G06V 10/768 (2022.01); G06V 10/7715 (2022.01); G06V 10/774 (2022.01); G06V 20/188 (2022.01); B64U 2101/00 (2023.01); G06T 2207/30004 (2013.01); G06T 2207/30188 (2013.01); G06V 10/82 (2022.01); G06V 2201/06 (2022.01)] 7 Claims
OG exemplary drawing
 
1. A computer-implemented method for processing crop information, the method implementing an application processing system for use in generating and processing information related to environmental and plant conditions within a growing facility and displaying same, the method comprising:
generating raw data via a mobile sensing unit, where the raw data corresponds to one or more characteristics of one or more plants;
receiving user input information in one of multiple available input formats through an input interface;
processing the raw data and user input information to create a curated data set comprising processed images representative of the crop information,
wherein processing the raw data further comprises creating at least one 3D point cloud reconstruction and mapping the at least one 3D point cloud reconstruction to a World Frame; performing a localization process to enhance the quality of the displayed information; wherein the localization process comprises creating and fusing two separate point clouds to create a holistic 3D plant and pot profile;
comparing the curated data set against a pre-existing database of domain data;
determining, based at least in part on the comparison of the curated data set, the specific environmental and plant conditions relative to the crop being processed;
generating a graphical user interface using a GUI generator; and
displaying the information related to the environmental and plant conditions.