Yield analysis through agronomic analytics

At least one computing device comprising a processor and a memory, the computing device implementing a system, the system comprising:

• a farm data module configured to receive farm field information, planting data, and harvest data for a plurality of farm fields;
• a data integration module configured to create, for respective farm fields of the plurality of farm fields, a field-level data summary representing the physical growth of one or more crops on the farm field, the field-level data summary created by associating planting data and harvest data for the farm field, wherein:
• at least some of the planting data and harvest data are acquired using sensors mounted to farming machinery, and
• the associating the planting data and the harvest data comprises:
• determining a latitude and a longitude for a plurality of harvest points in the harvest data;
• determining a latitude and a longitude for a plurality of planting points in the planting data;
• and
• for the respective harvest points:
• identifying one or more of the plurality of planting points that are (i) of a same seed variety as a harvest point and (ii) within a distance threshold from the harvest point;
• creating combined planting data for the one or more planting points within the distance threshold;
• and
• associating the combined planting data with the harvest point;
• and
• a yield analyzer configured to:
• receive a yield analysis request for a crop type;
• based on the field-level data summaries, determine crop-specific yield impacts of one or more yield factors, wherein the one or more yield factors comprises seed variety
• based on the crop-specific yield impacts of the one or more yield factors, provide a yield analysis for the crop type;
• and
• provide a seed variety recommendation.

A computer-implemented method, comprising:

• for respective farm fields of a plurality of farm fields:
• associating planting data and harvest data for the farm field based on locations of a plurality of planting points relative to locations of a plurality of harvest points, wherein the planting data and the harvest data for respective farm fields are associated by:
• determining locations of a plurality of harvest points;
• and
• for the respective harvest points:
• identifying one or more planting points that are within a distance threshold from the harvest point;
• creating combined planting data for the one or more planting points within the distance threshold, wherein creating the combined planting data comprises determining a weighted average of at least some planting data for the one or more planting points based on a distance of the respective planting points from the harvest point;
• and
• associating the combined planting data with the harvest point;
• and
• performing a field-level aggregation of planting data and harvest data according to seed-variety-and-soil-type combinations, wherein at least some of the planting data and harvest data are acquired using sensors mounted to farming machinery;
• receiving a yield analysis request;
• based on the field-level aggregations for the respective farm fields, determining a yield impact of one or more yield factors, wherein the one or more yield factors comprises seed variety;
• and
• providing a yield analysis based on the determined yield impact of the one or more yield factors, the yield analysis including at least one of:
• yield corresponding to values for the one or more yield factors;
• change in yield corresponding to values for the one or more yield factors;
• or
• an indication of a contribution of at least one of the one or more yield factors to yield;
• and
• providing a seed variety recommendation.