AGRICULTURAL HARVESTING MACHINE CONTROL USING MACHINE LEARNING FOR VARIABLE DELAYS
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 sens...
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Main Authors | , , |
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Format | Patent |
Language | English French German |
Published |
27.10.2021
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Subjects | |
Online Access | Get full text |
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Summary: | 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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Bibliography: | Application Number: EP20210162367 |