Patent ID: 11882784
Assignee: MINERAL EARTH SCIENCES LLC
Field: Measurement (Instruments)
Classification: CPC A  G | IPC A  G

Claim 0:
1. A method implemented using one or more processors, comprising:
obtaining a plurality of digital images depicting a field over multiple growing seasons;
applying the plurality of digital images as input to one or more machine learning models to generate first output indicative of two or more inferred agricultural management practices implemented in the field across the multiple growing seasons, wherein the two or more inferred agricultural management practices include:
an inferred tillage practice employed in the field during the multiple growing seasons;
a crop rotation employed in the field during the multiple growing seasons; or
a cover crop grown in the field during the multiple growing seasons; and
applying data indicative of the two or more inferred agricultural management practices as input to one or more additional machine learning models to generate second output, wherein the second output represents a predicted measure of soil organic carbon (SOC) of the field.