US 11,988,509 B2
Portable field imaging of plant stomata
Giles Hall, Medford, MA (US)
Assigned to Inari Agriculture Technology, Inc., Cambridge, MA (US)
Appl. No. 17/774,105
Filed by Inari Agriculture Technology, Inc., Cambridge, MA (US)
PCT Filed Nov. 25, 2020, PCT No. PCT/US2020/062189
§ 371(c)(1), (2) Date May 3, 2022,
PCT Pub. No. WO2021/108522, PCT Pub. Date Jun. 3, 2021.
Claims priority of provisional application 62/940,743, filed on Nov. 26, 2019.
Prior Publication US 2022/0415066 A1, Dec. 29, 2022
Int. Cl. G06V 10/762 (2022.01); G01C 11/10 (2006.01); G01N 33/00 (2006.01); G06V 10/44 (2022.01); G06V 10/82 (2022.01); G06V 20/69 (2022.01); H04N 23/67 (2023.01); G06V 20/68 (2022.01)
CPC G01C 11/10 (2013.01) [G01N 33/0098 (2013.01); G06V 10/44 (2022.01); G06V 10/762 (2022.01); G06V 10/82 (2022.01); G06V 20/693 (2022.01); H04N 23/67 (2023.01); G06V 20/68 (2022.01)] 22 Claims
OG exemplary drawing
 
1. A method for plant leaf phenotyping, comprising:
capturing, via an optical sensor, a first set of two or more images of a plant leaf representing two or more focal distances;
determining a reference focal distance based on the first set of images;
capturing, via the optical sensor, a second set of two or more images of the plant leaf, wherein at least one image of the second set of images is captured at a focal distance less than the reference focal distance, and wherein at least one image of the second set of images is captured at a focal distance greater than the reference focal distance;
generating a composite image based on the second set of images; and
providing the composite image to a trainable feature detector in order to determine a number, density, and/or distribution of stomata in the composite image.