Yield estimation

US10188037B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10188037-B2
Application numberUS-201514864449-A
CountryUS
Kind codeB2
Filing dateSep 24, 2015
Priority dateSep 24, 2015
Publication dateJan 29, 2019
Grant dateJan 29, 2019

How to read this patent

A practical reading order for non-experts. Skip the full description unless you need deep technical detail.

  1. Title

    What the patent document calls the invention.

  2. Abstract

    A short plain-language summary of the technical disclosure.

  3. Assignees and inventors

    Who owns or filed the patent and who is credited as inventor.

  4. Key dates

    Filing, priority, publication, and grant dates set the timeline.

  5. First independent claim

    The legal scope of protection — read this for what is actually claimed.

  6. CPC / IPC classifications

    Technology tags used to group this patent with similar filings.

  7. Citations and related patents

    Prior art links and similar publications in this corpus.

Abstract

Official abstract text for this publication.

A method and apparatus estimate yield. A first signal is received that an aggregate yield measured by an aggregate yield sensor during a measurement interval. A second signal is received that indicates a plurality of geo-referenced regions across which a harvester has traveled prior to the measurement interval. The method and apparatus allocate, to each of at least two geo-referenced regions, an aggregate yield portion allocation based upon different travel times for crops to the aggregate yield sensor Visual-Infrared Vegetative Index data derived from sensing of plants in selected portions of the electromagnetic spectrum at a time other than harvest. The aggregate yield portion allocations are output.

First claim

Opening claim text (preview).

What is claimed is: 1. A method comprising: receiving a first signal indicating an aggregate yield measured by an aggregate yield sensor during a measurement interval; receiving a second signal indicating a plurality of geo-referenced regions across which a harvester has traveled prior to the measurement interval, each of the plurality of geo-referenced regions having a region width less than a width of a head of the harvester; allocating, to each of at least two geo-referenced regions, an aggregate yield portion allocation based upon different conveyance times selected from a manufacture's database or measured for crops to travel from different transverse portions of the width of the head of the harvester to the aggregate yield sensor and Visual-Infrared Vegetative Index data derived from sensing of plants in selected portions of the electromagnetic spectrum at a time other than harvest; and outputting the aggregate yield portion allocations. 2. The method of claim 1 , wherein the allocating is based on differences in the Visual-Infrared Vegetative Index data for growth stages V8-V12 under the Iowa State University staging criteria, amongst the at least two geo-referenced regions. 3. The method of claim 1 , wherein the Visual-Infrared Vegetative Index data comprises Normalized Difference Vegetation Index (NDVT) data. 4. The method of claim 1 , wherein the Visual-Infrared Vegetative Index data comprises Normalized Difference Vegetation Index (NDVT) data and wherein the method further comprises estimating a yield for each of the at least two geo-referenced regions using the NDVI data and allocating to each of the at least two geo-referenced regions the aggregate yield portion allocation based upon the NDVI yield estimate. 5. The method of claim 1 , wherein the Visual-Infrared Vegetative Index data comprises Normalized Difference Vegetation Index (NDVI) data and wherein the method further comprises estimating a yield relationship between each of the at least two geo-referenced regions using the NDVI data and allocating to each of the at least two geo-referenced regions the aggregate yield portion allocation based upon the yield relationship. 6. The method of claim 1 further comprising: sensing an orientation of the harvester; and allocating a portion of the aggregate yield to the plurality of geo-referenced regions based upon the orientation. 7. The method of claim 1 further comprising: sensing an attribute of each of a plurality of plants being harvested by and across the harvester; and allocating the aggregate yield amongst the plurality of plants based upon the sensed attribute of each of the plurality of plants. 8. The method of claim 1 further comprising: sensing different levels of power associated with different components of the harvester that interact with different plants across the harvester; and allocating the aggregate yield amongst the different plants based upon the sensed different levels of power. 9. The method of claim 1 , wherein the geo-referenced regions to which portions of the aggregate yield from the measured interval are allocated are part of a chevron shape. 10. The method of claim 1 further comprising applying a ground truth calibration to the Visual-Infrared Vegetative Index data. 11. An apparatus comprising: a harvester having a harvester head width; a sensor to output signals indicating an aggregate yield harvested by the harvester header during a measurement interval; a location identifier to identify a plurality of geo-referenced regions across which the harvester has traveled prior to the measurement interval, each of the plurality of geo-referenced regions having a region width less than the harvester head width; and a processor to: determine the aggregate yield from the signals outputted by the sensor during the measurement interval and to allocate the aggregate yield to the plurality of geo-referenced regions based upon different travel times selected from a manufacture's database or measured for crops sensed by the aggregate sensor during the measurement interval to travel from different transverse portions of the harvester width to the aggregate sensor and Visual-Infrared Vegetative Index data derived from sensing of plants in selected portions of the electromagnetic spectrum at a time other than harvest; and output crop allocations to each of the plurality of geo-referenced regions. 12. The apparatus of claim 11 , wherein the allocation is based on differences in the Visual-Infrared Vegetative Index data for growth stages V8-V12 under the Iowa State University staging criteria, amongst the plurality of geo-referenced regions. 13. The apparatus of claim 11 , wherein the Visual-Infrared Vegetative Index data comprises normalized difference vegetation (NDVI) data for growth stages V8-V12 under the Iowa State University staging criteria, amongst the at least two geo-referenced regions. 14. The apparatus of claim 11 further comprising a second sensor to an orientation of the harvester, wherein the processor allocates a portion of the aggregate yield to at least one geo-referenced region other than the primary geo-referenced region additionally based upon the orientation. 15. The apparatus of claim 11 further comprising at least one second sensor to sense different levels of power associated with different components of the harvester that interact with different plants across the harvester, wherein the processor allocates aggregate yield amongst the different plants additionally based upon the sensed different levels of power. 16. A non-transitory computer-readable medium containing instructions to direct a processor to: obtain Visual-Infrared Vegetative Index (VTRVT) data derived from sensing of plants in selected portions of the electromagnetic spectrum at a time other than harvest; receive a second signal indicating a plurality of geo-referenced regions across which a harvester has traveled prior to the measurement interval, each of the plurality of geo-referenced regions having a region width less than a width of a head of the harvester; allocate, to each of the plurality of geo-referenced regions, an aggregate yield portion allocation based upon different travel times selected from a manufacture's database or measured for crops to travel from different transverse portions of the head of the harvester to the aggregate yield sensor and the VTRVI data; and output a map of the plurality of geo-referenced regions, the map being at least partially based upon the aggregate yield portion allocations. 17. The computer-readable medium of claim 16 , wherein the allocation is based on differences in the Visual-Infrared Vegetative Index data for growth stages V8-V12 under the Iowa State University staging criteria, amongst the plurality of geo-referenced regions. 18. The computer-readable medium of claim 16 , wherein the VTRVI data comprises normalized difference vegetation index (NDVT) data for growth stages V8-V12 under the Iowa State University staging criteria for a plurality of geo-referenced regions. 19. The computer readable medium of claim 16 , wherein the geo-referenced regions to which portions of the aggregate yield from the measured interval are allocated are part of a chevron shape. 20. An apparatus comprising: a harvester; a sensor to output signals indicating an aggregate yield harvested by the harvester header during a measurement interval; a location identifier to identify a plurality of geo-referenced regions across which the harvester has trav

Assignees

Inventors

Classifications

  • for measuring grain loss · CPC title

Patent family

Related publications grouped by family.

External sources

Frequently asked questions

Answers are generated from the same data shown on this page.

What does patent US10188037B2 cover?
A method and apparatus estimate yield. A first signal is received that an aggregate yield measured by an aggregate yield sensor during a measurement interval. A second signal is received that indicates a plurality of geo-referenced regions across which a harvester has traveled prior to the measurement interval. The method and apparatus allocate, to each of at least two geo-referenced regions, a…
Who is the assignee on this patent?
Deere & Co, Univ Iowa State Res Found Inc, Deere & Co
What technology area does this patent fall under?
Primary CPC classification A01D41/1273. Mapped technology areas include Human Necessities.
When was this patent published?
Publication date Tue Jan 29 2019 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 11 related publications on this page (citations in our corpus or others sharing the same primary CPC).