Analyzing crop fields based on agricultural management practices

A system for identifying crop fields suitable for management by an agricultural entity, the system comprising one or more processors and memory storing instructions that, in response to execution of the instructions, cause the one or more processors to:

• apply a machine learning model to input data to generate output data,
• wherein the input data includes:
• a first plurality of data points indicative of a first plurality of field-level agricultural management practices implemented historically by the agricultural entity in one or more crop fields managed by the agricultural entity,
• one or more additional pluralities of data points indicative of one or more additional pluralities of field-level management practices implemented historically by one or more other agricultural entities in one or more candidate crop fields not currently managed by the agricultural entity, and
• wherein the output data is indicative of one or more predicted outcomes of the agricultural entity implementing the first plurality of field-level agricultural management practices on one or more candidate crop fields not currently managed by the agricultural entity;
• cause one or more computing devices to render a field searching graphical user interface;
• and
• based on one or more of the predicted outcomes, cause one or more search parameter inputs of the field searching graphical user interface to be auto-populated with parameters that are selected to personalize search results obtained using the field searching graphical user interface to the agricultural entity.

A non-transitory computer-readable medium for identifying crop fields suitable for management by an agricultural entity, the medium comprising instructions that, in response to execution of the instructions by a processor, cause the processor to:

• apply a machine learning model to input data to generate output data,
• wherein the input data includes:
• a first plurality of data points indicative of a first plurality of field-level agricultural management practices implemented historically by the agricultural entity in one or more crop fields managed by the agricultural entity,
• one or more additional pluralities of data points indicative of one or more additional pluralities of field-level management practices implemented historically by one or more other agricultural entities in one or more candidate crop fields not currently managed by the agricultural entity, and
• wherein the output data is indicative of one or more predicted outcomes of the agricultural entity implementing the first plurality of field-level agricultural management practices on one or more candidate crop fields not currently managed by the agricultural entity;
• cause one or more computing devices to render a field searching graphical user interface;
• and
• based on one or more of the predicted outcomes, cause one or more search parameter inputs of the field searching graphical user interface to be auto-populated with parameters that are selected to personalize search results obtained using the field searching graphical user interface to the agricultural entity.