US 11,906,621 B2
Quantitative precipitation estimate quality control
Frederick Anthony Eckel, San Francisco, CA (US); and Bradley Nicholas Guy, San Francisco, CA (US)
Assigned to CLIMATE LLC, Saint Louis, MO (US)
Filed by The Climate Corporation, San Francisco, CA (US)
Filed on Dec. 19, 2019, as Appl. No. 16/720,375.
Claims priority of provisional application 62/784,309, filed on Dec. 21, 2018.
Prior Publication US 2020/0200897 A1, Jun. 25, 2020
Int. Cl. G01S 13/95 (2006.01); G01W 1/10 (2006.01); G01W 1/14 (2006.01); G05B 19/042 (2006.01); A01G 25/16 (2006.01); G06Q 50/02 (2012.01); A01B 79/00 (2006.01)
CPC G01S 13/951 (2013.01) [G01S 13/958 (2013.01); G01W 1/10 (2013.01); G01W 1/14 (2013.01); G05B 19/042 (2013.01); A01B 79/005 (2013.01); A01G 25/167 (2013.01); G01W 2203/00 (2013.01); G05B 2219/2625 (2013.01); G06Q 50/02 (2013.01); Y02A 90/10 (2018.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method providing improvements in agricultural science by improving sensor measurements of precipitation, the method comprising:
receiving, from a radar device, one or more digital precipitation records, the one or more digital precipitation records comprising a plurality of digital data values representing precipitation amounts at a plurality of locations, each of the digital data values indicative of a radar-based precipitation amount at a location;
receiving one or more digital forecast records comprising a plurality of digital data values representing precipitation forecasts at the plurality of locations for a plurality of different lead times, for each of the plurality of locations, the data values including forecast values for each of a plurality of incremental intervals, the precipitation forecasts each generated at a different one of the plurality of different lead times, the precipitation forecasts overlapping during at least one of the incremental intervals;
identifying, using the one or more digital precipitation records and the one or more digital forecast records, a plurality of the forecast values for the plurality of locations at a particular one of the incremental intervals;
computing, based on the plurality of forecast values, one or more weights per precipitation forecast, and the lead time of the precipitation forecast, a probability of precipitation at each of the plurality of locations at the particular one of the incremental intervals;
determining that the probability of precipitation at a particular location is lower than a threshold probability;
in response to determining that the probability of precipitation at a particular location is lower than the threshold probability, digitally storing data identifying the particular location as having received less precipitation than expected;
using the digitally stored data identifying the particular location as having received less precipitation than expected, generating a set of instructions for performing agricultural activities by one or more agricultural implements at the plurality of locations; and
performing, by the one or more agricultural implements, based on the set of instructions, a treatment to a portion of an agronomic field.