US 11,839,184 B2
Artificially intelligent irrigation system
Rudy Lars Larsen, Bountiful, UT (US)
Assigned to Smart Rain Systems, LLC, Centerville, UT (US)
Filed by Smart Rain Systems, LLC, Centerville, UT (US)
Filed on Sep. 1, 2022, as Appl. No. 17/901,232.
Application 17/901,232 is a continuation of application No. 16/884,907, filed on May 27, 2020, granted, now 11,432,485.
Claims priority of provisional application 62/859,517, filed on Jun. 10, 2019.
Prior Publication US 2023/0118851 A1, Apr. 20, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. A01G 25/16 (2006.01); G01W 1/14 (2006.01); G01W 1/10 (2006.01)
CPC A01G 25/167 (2013.01) [G01W 1/10 (2013.01); G01W 1/14 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A system for predicting soil moisture at a first property based on a triggering event, and managing an irrigation system at the first property in response to the triggering event the system comprising:
a processor in communication with a prediction system and a database; and
a storage medium storing instructions that, when executed, configure the processor to:
establish a baseline watering schedule comprising one or more baseline watering events;
receive at least one of weather data and water flow data;
filter the at least one of weather data and water flow data to determine if a potential triggering event has occurred;
where the potential triggering event has occurred, comparing at least one feature of the potential triggering event to at least one model feature of stored historical triggering event models to determine a correlation value between the potential triggering event and stored historical triggering events, the at least one model feature including at least one of type, location, date, time, and amount;
where the correlation value is above a predetermined threshold, making a soil moisture prediction for the first property based on the at least one stored historical triggering event model; and
where soil moisture prediction for the first property will increase within a predetermined amount of time of a baseline watering event, delaying the baseline watering event.