Invention Grant
- Patent Title: Agricultural harvesting machine control using machine learning for variable delays
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Application No.: US16897705Application Date: 2020-06-10
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Publication No.: US11641801B2Publication Date: 2023-05-09
- Inventor: Jeffrey S. Sidon , Matthew E. Poush , Michael J. Davis
- Applicant: Deere & Company
- Applicant Address: US IL Moline
- Assignee: Deere & Company
- Current Assignee: Deere & Company
- Current Assignee Address: US IL Moline
- Agency: Kelly, Holt & Christenson, PLLC
- Agent Christopher J. Volkmann
- Main IPC: A01D41/127
- IPC: A01D41/127 ; G06N20/00

Abstract:
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.
Public/Granted literature
- US20210321567A1 AGRICULTURAL HARVESTING MACHINE CONTROL USING MACHINE LEARNING FOR VARIABLE DELAYS Public/Granted day:2021-10-21
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