US 12,271,958 B2
Computing risk from a crop damaging factor for a crop on an agronomic field
Patricia Ann Carroll, Seattle, WA (US); Holly Janine Dail, Seattle, WA (US); Bethany Susan Porter Grabow, Moscow Mills, MO (US); Ana Malagon, San Francisco, CA (US); and Jerald Keith Pataky, Champaign, IL (US)
Assigned to CLIMATE LLC, Saint Louis, MO (US)
Filed by CLIMATE LLC, Saint Louis, MO (US)
Filed on Aug. 22, 2022, as Appl. No. 17/892,975.
Application 17/892,975 is a continuation of application No. 15/820,317, filed on Nov. 21, 2017, granted, now 11,423,492.
Prior Publication US 2022/0398674 A1, Dec. 15, 2022
Int. Cl. G06Q 50/02 (2024.01); G06Q 10/0635 (2023.01); G01W 1/06 (2006.01)
CPC G06Q 50/02 (2013.01) [G06Q 10/0635 (2013.01); G01W 1/06 (2013.01)] 8 Claims
OG exemplary drawing
 
1. A method for limiting damage of a crop on an agronomic field, the method comprising:
receiving, for multiple hours, weather data identifying temperature values and humidity values associated with a geographic location, the multiple hours representative of weather data between a planting day of a crop on one or more agronomic fields at the geographic location and a second day for the crop on the one or more agronomic fields after the planting day;
for each day from the planting day to the second day, determining, by a computing device, for each hour of the multiple hours, that a temperature value is within a first range of values, a humidity value is within a second range of values, and the hour is a threshold number of hour(s) before sunrise or after sunset, and, in response to the temperature value being within the first range, the humidity value being within the second range, and the hour being the threshold number of hour(s) before sunrise or after sunset, identifying said hour of the multiple hours as a risk hour for a disease;
for each of the identified risk hours, weighting an hour value of the hour based on: a difference between a temperature for the hour and a stored optimal temperature and/or a difference between a humidity for the hour and a stored optimal humidity;
computing, by the computing device, for the second day, a risk value for the one or more agronomic fields based, at least in part, on a summation of the weighted hour values for the identified risk hours from the planting day to the second day;
determining, by the computing device, that the risk value is above a risk value threshold and, in response to determining that the risk value is above the risk value threshold, determining that the crop on the one or more agronomic fields is at risk of suffering damage from the disease;
storing, by the computing device, in memory of the computing device, data indicating that the crop on the one or more agronomic fields is at risk of suffering damage from the disease; and
based on the data in the memory indicating that the crop is at risk of suffering damage from the disease, controlling, by an application controller of an implement, the implement on the one or more agronomic fields to spray the crop on the one or more agronomic fields with a damage mitigating chemical specific to the disease.