US 11,686,880 B2
Generating and conveying comprehensive weather insights at fields for optimal agricultural decision making
Frederick Anthony Eckel, Bothell, WA (US); Gregory Reid Herman, Seattle, WA (US); and Christopher Goodman, St. Louis, MO (US)
Assigned to CLIMATE LLC, Saint Louis, MO (US)
Filed by CLIMATE LLC, Saint Louis, MO (US)
Filed on May 10, 2021, as Appl. No. 17/316,210.
Application 17/316,210 is a continuation of application No. 16/831,732, filed on Mar. 26, 2020, granted, now 11,009,625.
Claims priority of provisional application 62/824,977, filed on Mar. 27, 2019.
Prior Publication US 2022/0018990 A1, Jan. 20, 2022
Int. Cl. G01W 1/10 (2006.01); G06N 5/04 (2023.01); G06N 20/00 (2019.01); G06N 5/02 (2023.01)
CPC G01W 1/10 (2013.01) [G06N 5/02 (2013.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); G01W 2203/00 (2013.01)] 19 Claims
OG exemplary drawing
 
1. A computer-implemented method, comprising:
obtaining, by a processor, an ensemble of weather models for forecasting weather conditions at a field associated with an agricultural operation;
obtaining, by the processor, output data from executing the ensemble of weather models for a past period of time;
receiving observed weather data for the past period of time;
generating, by the processor, calibrating data from the output data and the observed weather data, using machine learning techniques;
updating the ensemble of weather models to an ensemble of updated weather models based on the calibrating data;
executing the ensemble of updated weather models for a future time to generate a list of weather forecasts for the field;
computing a probability distribution function (PDF) based on the list of weather forecasts;
causing displaying a stacked bar graph based on the PDF.