Deere + Company

Jeffrey S Sidon

Matthew E Poush

Michael Davis

David J Glass

Sam R Helmich

Scott W Anderson

Amy Oetting

A work machine includes a work machine actuator, a position sensor configured to sense a geographic position of the work machine on a worksite and a control system configured to receive an indication of a thematic map of the worksite that maps variable values to different geographic locations on the worksite, generate a set of clusters based on the variable values and a geospatial control zone constraint, identify, based on the set of clusters, a plurality of control zones that are correlated to the worksite and have associated setting values, and generate control signals to control the work machine actuator based on the geographic position of the work machine relative to the plurality of control zones and the setting values associated with the control zones.

Work machine zone generation and control system with geospatial constraints

A mobile agricultural machine includes ground engaging elements that propel the mobile agricultural machine about an agricultural field. The agricultural machine includes a processor that receives field data indicative of characteristics of portions of the field. The agricultural machine includes a display unit operably coupled to the processor, the display unit configured to display a user interface generated by the processor. The user interface includes a map comprising a plurality of field characteristic indicia, the field characteristic indicia indicative of the characteristics of the portions of the field and the locations of the portions of the field. The user interface also includes a data distribution indicator representing a distribution of the field data and a legend proximate the data distribution indicator.

Agricultural machine with an improved user interface

A computer-implemented method includes obtaining field data for a field that was generated prior to an agricultural harvesting machine operating on the field, the field data representing an estimated yield, obtaining yield data, that is georeferenced to the field, based on a signal from a yield sensor on the agricultural harvesting machine, applying a flow model to the yield data to generate a yield map, the flow model having a set of parameters that models material flow through a harvesting system of the agricultural harvesting machine, obtaining an adjusted set of parameters based on a correlation between the yield map and the estimated yield, modifying the yield map based on the adjusted set of parameters, and generating a control signal based on the modified yield map.

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Des Moines, IA, United States of America

Jeffrey S Sidon