System and method for estimating and forecasting soil moisture content

A system for estimating and forecasting soil volumetric moisture content, the system comprising:

• one or more processors;
• one or more computer-readable media;
• and
• one or more modules maintained on the one or more computer-readable media that, when executed by the one or more processors, cause the one or more processors to perform operations including:
• ingesting data obtained from one or more data sources, wherein the data of the one or more data sources include one or more of soil data, topography data, rainfall data, weather service data, weather station data, and portable moisture meter data;
• processing and storing the ingested data;
• executing a machine learning component of an adaptive machine learning platform to generate a machine learning component output, wherein the machine learning component output is generated based at least in part on the processed and stored data;
• and
• generating a soil volumetric moisture content estimate or forecast based at least in part on the machine learning component output.