Artificially intelligent irrigation system

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 data associated with a potential triggering event at a second property, comparing at least one characteristic of the potential triggering event to at least one characteristic of stored historical triggering events to determine a correlation value between the potential triggering event and stored historical triggering events, the stored historical triggering events comprising metadata including at least one of location of the stored historical triggering event, and an amount of the stored historical triggering event;
• where the correlation value is above a predetermined threshold, generating a soil moisture prediction model for the first property based on a soil moisture function of at least one stored historical triggering event;
• 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.

A system for predicting soil moisture at a first property based on a precipitation event at a location remote from the first property, and managing an irrigation system at the first property in response to the precipitation event at the location remote from the first property, 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 real-time weather data for the location remote from the first property;
• filter the real-time weather data for the location remote from the first property to determine if the precipitation event has occurred;
• where the precipitation event has occurred, generating a predictive soil moisture model based on at least one stored historical precipitation event model, the at least one stored historical precipitation event model comprising model features;
• and
• modifying the baseline watering schedule in response to the predictive soil moisture model.