Patents by Inventor Victoria Cacnio Hubbard

Victoria Cacnio Hubbard has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 9652691
    Abstract: A method for determining the yield loss of a crop using remote sensor data is described. The yield loss is determined using the reflectivity of light by the crop canopy measured from remote sensor data such as an aerial photograph. Pixel color values from the aerial photograph, expressed relative to pixel values from nitrogen-sufficient areas of the field, are transformed to yield losses using a transformation that was developed using empirical data. A similar method is described to determine recommended nitrogen fertilization rates for the crop fields. The yield loss data is useful for nitrogen fertilization management decisions, as it allows a producer of crops to weigh the expense of fertilization against the loss of revenue due to yield loss induced by nitrogen deficiency.
    Type: Grant
    Filed: October 25, 2016
    Date of Patent: May 16, 2017
    Assignee: The Curators of the University of Missouri
    Inventors: Peter Clifton Scharf, Victoria Cacnio Hubbard
  • Publication number: 20170039449
    Abstract: A method for determining the yield loss of a crop using remote sensor data is described. The yield loss is determined using the reflectivity of light by the crop canopy measured from remote sensor data such as an aerial photograph. Pixel color values from the aerial photograph, expressed relative to pixel values from nitrogen-sufficient areas of the field, are transformed to yield losses using a transformation that was developed using empirical data. A similar method is described to determine recommended nitrogen fertilization rates for the crop fields. The yield loss data is useful for nitrogen fertilization management decisions, as it allows a producer of crops to weigh the expense of fertilization against the loss of revenue due to yield loss induced by nitrogen deficiency.
    Type: Application
    Filed: October 25, 2016
    Publication date: February 9, 2017
    Applicant: The Curators of the University of Missouri
    Inventors: Peter Clifton Scharf, Victoria Cacnio Hubbard
  • Patent number: 9508007
    Abstract: A method for determining the yield loss of a crop using remote sensor data is described. The yield loss is determined using the reflectivity of light by the crop canopy measured from remote sensor data such as an aerial photograph that is digitized and spatially referenced to the field's longitude and latitude. Pixel values from the aerial photograph, expressed relative to pixel values from well fertilized areas of the field, are transformed to yield losses using a linear transformation that was developed using empirical data. A similar method is described to determine recommended nitrogen fertilization rates for the crop fields. The yield loss data is useful for nitrogen fertilization management, as it allows a producer of crops to weigh the expense of fertilization against the loss of revenue due to yield loss.
    Type: Grant
    Filed: October 19, 2015
    Date of Patent: November 29, 2016
    Assignee: The Curators of the University of Missouri
    Inventors: Peter Clifton Scharf, Victoria Cacnio Hubbard
  • Publication number: 20160042232
    Abstract: A method for determining the yield loss of a crop using remote sensor data is described. The yield loss is determined using the reflectivity of light by the crop canopy measured from remote sensor data such as an aerial photograph that is digitized and spatially referenced to the field's longitude and latitude. Pixel values from the aerial photograph, expressed relative to pixel values from well fertilized areas of the field, are transformed to yield losses using a linear transformation that was developed using empirical data. A similar method is described to determine recommended nitrogen fertilization rates for the crop fields. The yield loss data is useful for nitrogen fertilization management, as it allows a producer of crops to weigh the expense of fertilization against the loss of revenue due to yield loss.
    Type: Application
    Filed: October 19, 2015
    Publication date: February 11, 2016
    Inventors: Peter Clifton Scharf, Victoria Cacnio Hubbard
  • Patent number: 9195891
    Abstract: A method for determining the yield loss of a crop using remote sensor data is described. The yield loss is determined using the reflectivity of green light by the crop canopy measured from remote sensor data such as an aerial photograph that is digitized and spatially referenced to the field's longitude and latitude. Green pixel values from the aerial photograph, expressed relative to green pixel values from well-fertilized areas of the field, are transformed to yield losses using a linear transformation that was developed using empirical data. A similar method is described to determine recommended nitrogen fertilization rates for the crop fields. The yield loss data is useful for nitrogen fertilization management, as it allows a producer of crops to weigh the expense of fertilization against the loss of revenue due to yield loss.
    Type: Grant
    Filed: August 5, 2013
    Date of Patent: November 24, 2015
    Assignee: The Curators of the University of Missouri
    Inventors: Peter Clifton Scharf, Victoria Cacnio Hubbard
  • Publication number: 20140039967
    Abstract: A method for determining the yield loss of a crop using remote sensor data is described. The yield loss is determined using the reflectivity of green light by the crop canopy measured from remote sensor data such as an aerial photograph that is digitized and spatially referenced to the field's longitude and latitude. Green pixel values from the aerial photograph, expressed relative to green pixel values from well-fertilized areas of the field, are transformed to yield losses using a linear transformation that was developed using empirical data. A similar method is described to determine recommended nitrogen fertilization rates for the crop fields. The yield loss data is useful for nitrogen fertilization management, as it allows a producer of crops to weigh the expense of fertilization against the loss of revenue due to yield loss.
    Type: Application
    Filed: August 5, 2013
    Publication date: February 6, 2014
    Applicant: The Curators of the University of Missouri
    Inventors: Peter Clifton Scharf, Victoria Cacnio Hubbard
  • Patent number: 8520891
    Abstract: A method for determining the yield loss of a crop using remote sensor data is described. The yield loss is determined using the reflectivity of green light by the crop canopy measured from remote sensor data such as an aerial photograph that is digitized and spatially referenced to the field's longitude and latitude. Green pixel values from the aerial photograph, expressed relative to green pixel values from well-fertilized areas of the field, are transformed to yield losses using a linear transformation that was developed using empirical data. A similar method is described to determine recommended nitrogen fertilization rates for the crop fields. The yield loss data is useful for nitrogen fertilization management, as it allows a producer of crops to weigh the expense of fertilization against the loss of revenue due to yield loss.
    Type: Grant
    Filed: May 25, 2012
    Date of Patent: August 27, 2013
    Assignee: The Curators of the University of Missouri
    Inventors: Peter Clifton Scharf, Victoria Cacnio Hubbard
  • Publication number: 20120250962
    Abstract: A method for determining the yield loss of a crop using remote sensor data is described. The yield loss is determined using the reflectivity of green light by the crop canopy measured from remote sensor data such as an aerial photograph that is digitized and spatially referenced to the field's longitude and latitude. Green pixel values from the aerial photograph, expressed relative to green pixel values from well-fertilized areas of the field, are transformed to yield losses using a linear transformation that was developed using empirical data. A similar method is described to determine recommended nitrogen fertilization rates for the crop fields. The yield loss data is useful for nitrogen fertilization management, as it allows a producer of crops to weigh the expense of fertilization against the loss of revenue due to yield loss.
    Type: Application
    Filed: May 25, 2012
    Publication date: October 4, 2012
    Applicant: THE CURATORS OF THE UNIVERSITY OF MISSOURI
    Inventors: Peter Clifton Scharf, Victoria Cacnio Hubbard
  • Patent number: 8208680
    Abstract: A method for determining the yield loss of a crop using remote sensor data is described. The yield loss is determined using the reflectivity of green light by the crop canopy measured from remote sensor data such as an aerial photograph that is digitized and spatially referenced to the field's longitude and latitude. Green pixel values from the aerial photograph, expressed relative to green pixel values from well-fertilized areas of the field, are transformed to yield losses using a linear transformation that was developed using empirical data. A similar method is described to determine recommended nitrogen fertilization rates for the crop fields. The yield loss data is useful for nitrogen fertilization management, as it allows a producer of crops to weigh the expense of fertilization against the loss of revenue due to yield loss.
    Type: Grant
    Filed: November 7, 2007
    Date of Patent: June 26, 2012
    Assignee: The Curators of the University of Missouri
    Inventors: Peter Clifton Scharf, Victoria Cacnio Hubbard
  • Publication number: 20080304711
    Abstract: A method for determining the yield loss of a crop using remote sensor data is described. The yield loss is determined using the reflectivity of green light by the crop canopy measured from remote sensor data such as an aerial photograph that is digitized and spatially referenced to the field's longitude and latitude. Green pixel values from the aerial photograph, expressed relative to green pixel values from well-fertilized areas of the field, are transformed to yield losses using a linear transformation that was developed using empirical data. A similar method is described to determine recommended nitrogen fertilization rates for the crop fields. The yield loss data is useful for nitrogen fertilization management, as it allows a producer of crops to weigh the expense of fertilization against the loss of revenue due to yield loss.
    Type: Application
    Filed: November 7, 2007
    Publication date: December 11, 2008
    Inventors: Peter Clifton Scharf, Victoria Cacnio Hubbard