US 11,796,971 B2
Utilizing spatial statistical models for implementing agronomic trials
Carlos Carrion, Sunnyvale, CA (US); Nicholas Cizek, Stanford, CA (US); James Delaney, Tiburon, CA (US); Gardar Johannesson, Oakland, CA (US); Moslem Ladoni, Dublin, CA (US); Ricardo Lemos, San Francisco, CA (US); Brian Lutz, St. Charles, MO (US); and Maria Terres, San Francisco, CA (US)
Assigned to CLIMATE LLC, Saint Louis, MO (US)
Filed by Climate LLC, Saint Louis, MO (US)
Filed on Oct. 31, 2022, as Appl. No. 17/977,860.
Application 17/977,860 is a continuation of application No. 16/723,892, filed on Dec. 20, 2019, granted, now 11,487,254.
Claims priority of provisional application 62/782,587, filed on Dec. 20, 2018.
Prior Publication US 2023/0050552 A1, Feb. 16, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G05B 13/04 (2006.01); G06F 17/18 (2006.01); A01B 79/00 (2006.01); A01B 79/02 (2006.01)
CPC G05B 13/048 (2013.01) [A01B 79/005 (2013.01); A01B 79/02 (2013.01); G06F 17/18 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A system comprising:
one or more processors;
a memory storing instructions which, when executed by the one or more processors, causes performing:
receiving first yield data for a first portion of an agronomic field, the first portion of the agronomic field subjected to a first treatment;
receiving second yield data for a second portion of the agronomic field, the second portion of the agronomic field subjected to a second treatment that is different than the first treatment;
using a spatial statistical model, computing a yield value, per location, for the second portion of the agronomic field based on a vector of covariate(s) and the first yield data, the vector of covariate(s) indicative of one or more measurable properties of the agronomic field per location, the yield value indicating an agronomic yield for the second portion of the agronomic field had the second portion of the agronomic field been subject to the first treatment;
determining, per location of the second portion of the agronomic field, a difference between the computed yield value and the second yield data;
selecting the second treatment based on the difference relative to a threshold; and
generating a prescription map based on the spatial statistical model, the prescription map including the second treatment applied to a portion of a field, which is larger than the second portion of the agronomic field.