US 11,965,832 B2
Remote sensing of plant photosynthetic capacity
Oded Liran, Kiryat Shemona (IL)
Assigned to MIGAL GALILEE RESEARCH INSTITUTE LTD., Kiryat Shmona (IL)
Appl. No. 17/602,041
Filed by MIGAL GALILEE RESEARCH INSTITUTE LTD., Kiryat Shmona (IL)
PCT Filed Apr. 7, 2020, PCT No. PCT/IL2020/050426
§ 371(c)(1), (2) Date Oct. 7, 2021,
PCT Pub. No. WO2020/208633, PCT Pub. Date Oct. 15, 2020.
Claims priority of provisional application 62/830,733, filed on Apr. 8, 2019.
Prior Publication US 2022/0196556 A1, Jun. 23, 2022
Int. Cl. G01N 21/64 (2006.01); A01C 21/00 (2006.01); G01N 21/84 (2006.01)
CPC G01N 21/6486 (2013.01) [A01C 21/007 (2013.01); G01N 2021/8466 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A system comprising:
at least one hardware processor; and
a non-transitory computer-readable storage medium having stored thereon program instructions, the program instructions executable by the at least one hardware processor to:
receive, as input, spectral image data representing spectral reflectance associated with at least one plant,
calculate a first chlorophyll fluorescence index in a first wavelength band, and a second chlorophyll fluorescence index, in a second wavelength bands, based, at least in part, on said spectral reflectance, and
derive a quantum yield value with respect to said at least one plant, by:
(i) dividing said first chlorophyll fluorescence index in a sum of said first chlorophyll fluorescence index and said second chlorophyll fluorescence index, and
(ii) multiplying (i) by a vegetation index value associated with said at least one plant.