System for measuring plant attributes using a priori plant maps

US2016338267A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2016338267-A1
Application numberUS-201514716136-A
CountryUS
Kind codeA1
Filing dateMay 19, 2015
Priority dateMay 19, 2015
Publication dateNov 24, 2016
Grant date

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Abstract

Official abstract text for this publication.

A system for measuring plant attributes comprises a plant attribute sensor ( 103, 108, 110 ); a digital a priori plant location map ( 118 ); and an ECU ( 126 ) coupled to the plant attribute sensor ( 103, 108, 110 ) and configured to retrieve and use the a priori plant map and to anticipate a plant measurement based upon the a priori plant map and to use that anticipation to improve the accuracy of the plant measurement.

First claim

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1 . A system for measuring plant attributes during harvesting of a row crop comprising: a plant attribute sensor ( 103 , 108 , 110 ); a digital a priori plant location map ( 118 ); and an ECU ( 126 ) coupled to the plant attribute sensor ( 103 , 108 , 110 ) and configured to retrieve and use the a priori plant location map ( 118 ) to anticipate the presence of a plant to be harvested and to use the anticipated presence of a plant to improve accuracy of a plant measurement, wherein the plant measurement is provided by the plant attribute sensor ( 103 , 108 , 110 ). 2 . The system of claim 1 wherein the ECU ( 126 ) is configured to create a sensor sampling window ( 210 ), wherein the ECU ( 126 ) is further configured to receive data from the plant attribute sensor ( 103 , 108 , 110 ) during the sensor sampling window ( 210 ) and wherein the ECU ( 126 ) is further configured to reject data from the plant attribute sensor ( 103 , 108 , 110 ) outside of the sensor sampling window. 3 . The system of claim 1 wherein the anticipated plant measurement is used to adjust a value of as-received data from the plant attribute sensor ( 103 , 108 , 110 ). 4 . The system of claim 2 wherein the plant attribute sensor ( 103 , 108 , 110 ) comprises at least one of a feeler-based plant sensor ( 103 ), a stripper plate plant sensor ( 108 ), and a plant impact sensor ( 110 ). 5 . The system of claim 4 , wherein the feeler-based plant sensor ( 103 ) is a vehicle guidance sensor. 6 . The system of claim 4 , wherein the stripper plate plant sensor ( 108 ) is configured to generate a signal indicative of a plant stalk thickness for a crop plant disposed between two stripper plates ( 104 ). 7 . The system of claim 4 , wherein the plant impact sensor ( 110 ) is configured to respond to impacts of ears of corn on a stripper plate ( 104 ). 8 . The system of claim 4 , wherein the system further comprises a second plant attribute sensor ( 103 , 108 , 110 ), wherein the second plant attribute sensor ( 103 , 108 , 110 ) is coupled to the ECU ( 126 ), and wherein the second plant attribute sensor ( 103 , 108 , 110 ) comprises at least another of the feeler-based plant sensor ( 103 ), the stripper plate plant sensor ( 108 ), and the plant impact sensor ( 110 ). 9 . The system of claim 1 , wherein the plant to be harvested is planted in a row. 10 . The system of claim 9 , wherein the plant to be harvested is a corn plant.

Assignees

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Classifications

  • A01D45/02Primary

    of maize {, i.e. kernel harvesting (for ensilage maize A01D43/081)} · CPC title

  • Cornheaders · CPC title

  • Precision agriculture · CPC title

  • Accessories for harvesters or mowers · CPC title

  • for measuring diameters · CPC title

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What does patent US2016338267A1 cover?
A system for measuring plant attributes comprises a plant attribute sensor ( 103, 108, 110 ); a digital a priori plant location map ( 118 ); and an ECU ( 126 ) coupled to the plant attribute sensor ( 103, 108, 110 ) and configured to retrieve and use the a priori plant map and to anticipate a plant measurement based upon the a priori plant map and to use that anticipation to improve the accurac…
Who is the assignee on this patent?
Deere & Co
What technology area does this patent fall under?
Primary CPC classification A01D45/02. Mapped technology areas include Human Necessities.
When was this patent published?
Publication date Thu Nov 24 2016 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 4 related publications on this page (citations in our corpus or others sharing the same primary CPC).