Delay management for geospatial crop yield mapping

US11240960B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-11240960-B2
Application numberUS-201916574876-A
CountryUS
Kind codeB2
Filing dateSep 18, 2019
Priority dateSep 18, 2019
Publication dateFeb 8, 2022
Grant dateFeb 8, 2022

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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Abstract

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Systems and methods for geospatial yield mapping by managing and modeling a system-based delay between crop location and crop sensing. The system stores a plurality of yield rate values indicative of crop yield detected by a sensor and a plurality of geospatial location values as time sequence data sets. The system then maps a yield rate value to a geospatial location value by determining an offset indicative of a total delay time from when the crop is cut from the field to when the crop is detected by the yield sensor. In some implementations, the delay value is determined as an integer multiple of a defined sampling frequency and is determined as a sum of a plurality of delay component values each indicative of a portion of the total delay time associated with a different one of a plurality of component systems of the crop harvester.

First claim

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What is claimed is: 1. A method of correcting a correlation between a geospatial location of a crop harvester and a determined yield rate value, the method comprising: determining, by an electronic processor, a delay value indicative of a total delay time from a first time to a second time, wherein the first time is when a crop is cut from a field by the crop harvester as the crop harvester moves along a surface of the field, wherein the second time is when the cut crop reaches a yield monitoring sensor, wherein the delay value is determined as an integer multiple, wherein the delay value is determined as a sum of a plurality of delay component values each indicative of a portion of the total delay time associated with a different one of a plurality of component systems of the crop harvester, and wherein at least one delay component value of the plurality of delay component values is calculated based on a sensed operating condition of the crop harvester; correlating, by the electronic processor, a first yield rate value from a stored sequential data set of yield rate values with a geospatial location on the field based at least in part on the determined delay value as an integer offset, wherein the sequential data set of yield rate values includes a plurality of yield rate values that have each been periodically determined based on an output from the yield monitoring sensor at each of a plurality of sampling interval times according to a defined sampling frequency; determining, by the electronic processor, a plurality of delay values at the defined sampling rate based at last in part on one or more sensed operating conditions of the crop harvester at each sampling interval time according to the defined sampling rate, and wherein correlating the first yield rate value with the geospatial location includes identifying a sampling interval time of the plurality of sampling interval times corresponding to the first yield rate value, identifying a first geospatial location from a second sequential data set corresponding to the first sampling interval time, wherein the second sequential data set includes a plurality of geospatial locations of the crop harvester determined at each sampling interval time according to the defined sampling frequency, identifying a second geospatial location from the second sequential data set that is offset from the first geospatial location in the second sequential data set by the integer offset defined by the delay value for the first sampling interval time, and updating a stored yield map identifying the first yield rate value as a yield rate value for the second geospatial location. 2. The method of claim 1 , wherein the crop harvester includes an elevator configured to convey the crop to a collection vessel, wherein the yield monitoring sensor is configured to measure an amount of crop passing a location on the elevator, wherein the plurality of delay component values includes an elevator delay component indicative of an amount of time that the crop is moving on the elevator before it is sensed by the yield monitor sensor, the method further comprising determining the elevator delay component based at least in part on a current speed of the elevator. 3. The method of claim 1 , wherein the crop harvester includes a buffer basket configured to receive material collected by the crop harvest and an elevator configured to convey the crop from the buffer basket to a collection vessel, wherein the plurality of delay component values includes a buffer basket delay component indicative of an amount of time that the crop is held in the buffer basket before being removed from the buffer basket by the elevator, the method further comprising determining the buffer basket delay component based at least in part on a current operating state of the elevator and a previous operating state of the elevator. 4. The method of claim 3 , wherein determining the buffer basket delay component includes determining the buffer basket delay component based at least in part on a current speed of the elevator. 5. The method of claim 3 , further comprising periodically determining an estimated mass flow rate of material entering the buffer basket based at least in part on a sensed ground speed of the crop harvester, and wherein determining the buffer basket delay component includes determining the buffer basket delay component based at least in part on the estimated mass flow rate. 6. The method of claim 1 , wherein the defined sampling frequency is a common multiple of a yield rate sampling frequency and a geospatial location sampling frequency, wherein the sequential data set including the plurality of yield rate values determined at the each sampling interval time of the plurality of sampling interval times according to a defined sampling frequency further includes a second plurality of yield rate values according to the yield rate sampling frequency, wherein the second plurality of yield rate values includes the plurality of yield rate values at the common multiple sampling frequency, and wherein the second sequential data set further includes a third plurality of geospatial locations according to the geospatial location sampling frequency, wherein the third plurality of geospatial locations includes the plurality of geospatial locations of the crop harvester determined at each sampling interval time according to the defined sampling frequency. 7. A geospatial yield mapping system for a crop harvester, the system comprising an electronic controller configured to: store a plurality of yield rate values as a sequential data set by periodically determining a yield rate of the crop harvester at each sampling interval time of a plurality of sampling interval times according to a defined sampling frequency, wherein the electronic controller is configured to determine the yield rate based on an output of a yield monitoring sensor at each sampling interval time; determine a delay value indicative of a total delay time from a first time to a second time, wherein the first time is when a crop is cut from a field by the crop harvester as the crop harvester moves along a surface of the field, wherein the second time is when the cut crop reaches the yield monitoring sensor, wherein the delay value is determined as an integer multiple of the defined sampling frequency, wherein the delay value is determined as a sum of a plurality of delay component values each indicative of a portion of the total delay time associated with a different one of a plurality of component systems of the crop harvester, and wherein at least one delay component value of the plurality of delay component values is calculated based on a sensed operating condition of the crop harvester; correlate a first yield rate value from the sequential data set of yield rate values with a geospatial location on the field based at least in part on the determined delay value as an integer offset; determine a plurality of delay values at the defined sampling rate based at least in part on one or more sensed operating conditions of the crop harvester at each sampling interval time according to the defined sampling rate; and store a plurality of geospatial locations as a second sequential data set by periodically determining a geospatial location of the crop harvester at each sampling interval time according to the defined sampling frequency, wherein the electronic controller is configured to correlate the first yield rate value with a geospatial location by identifying a sampling interval time of the plurality of sampling interval times corresponding to the first yield rate value, identifying a first geospatial location from the second sequential data set corresponding to a first sampling interval time, identifying a secon

Assignees

Inventors

Classifications

  • Location-based services which utilize the location information of a target · CPC title

  • for measuring crop flow · CPC title

  • A01D45/10Primary

    of sugar cane {(for digging sugar cane A01D31/00)} · CPC title

  • Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" (market predictions or forecasting for commercial activities G06Q30/0202) · CPC title

  • G06Q50/02Primary

    Agriculture; Fishing; Forestry; Mining · CPC title

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What does patent US11240960B2 cover?
Systems and methods for geospatial yield mapping by managing and modeling a system-based delay between crop location and crop sensing. The system stores a plurality of yield rate values indicative of crop yield detected by a sensor and a plurality of geospatial location values as time sequence data sets. The system then maps a yield rate value to a geospatial location value by determining an of…
Who is the assignee on this patent?
Deere & Co
What technology area does this patent fall under?
Primary CPC classification A01D41/1271. Mapped technology areas include Human Necessities.
When was this patent published?
Publication date Tue Feb 08 2022 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 3 related publications on this page (citations in our corpus or others sharing the same primary CPC).