Patents by Inventor Guomei Wang

Guomei Wang 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).

  • Publication number: 20230351226
    Abstract: An example computer-implemented method includes receiving agricultural data records comprising a first set of yield properties for a first set of seeds grown in a first set of environments, and receiving genetic feature data related to a second set of seeds. The method further includes generating a second set of yield properties for the second set of seeds associated with a second set of environments by applying a model using the genetic feature data and the agricultural data records. In addition, the method includes determining predicted yield performance for a third set of seeds associated with one or more target environments by applying the second set of yield properties, and generating seed recommendations for the one or more target environments based on the predicted yield performance for the third set of seeds. In the present example, the method also includes causing display of the seed recommendations.
    Type: Application
    Filed: February 27, 2023
    Publication date: November 2, 2023
    Inventors: Jason K. Bull, Tonya S. Ehlmann, Dongming Jiang, Brian Lutz, James C. Moore, III, Timothy Reich, Herbert Ssegane, Guomei Wang, Xuefei Wang, Liwei Wen, Xiao Yang
  • Patent number: 11593674
    Abstract: An example computer-implemented method includes receiving agricultural data records comprising a first set of yield properties for a first set of seeds grown in a first set of environments, and receiving genetic feature data related to a second set of seeds. The method further includes generating a second set of yield properties for the second set of seeds associated with a second set of environments by applying a model using the genetic feature data and the agricultural data records. In addition, the method includes determining predicted yield performance for a third set of seeds associated with one or more target environments by applying the second set of yield properties, and generating seed recommendations for the one or more target environments based on the predicted yield performance for the third set of seeds. In the present example, the method also includes causing display, on a display device communicatively coupled to the server computer system, the seed recommendations.
    Type: Grant
    Filed: October 24, 2019
    Date of Patent: February 28, 2023
    Assignee: CLIMATE LLC
    Inventors: Dongming Jiang, Herbert Ssegane, James C. Moore, III, Jason K. Bull, Liwei Wen, Timothy Reich, Tonya S. Ehlmann, Xiao Yang, Xuefei Wang, Brian Lutz, Guomei Wang
  • Publication number: 20200134486
    Abstract: An example computer-implemented method includes receiving agricultural data records comprising a first set of yield properties for a first set of seeds grown in a first set of environments, and receiving genetic feature data related to a second set of seeds. The method further includes generating a second set of yield properties for the second set of seeds associated with a second set of environments by applying a model using the genetic feature data and the agricultural data records. In addition, the method includes determining predicted yield performance for a third set of seeds associated with one or more target environments by applying the second set of yield properties, and generating seed recommendations for the one or more target environments based on the predicted yield performance for the third set of seeds. In the present example, the method also includes causing display, on a display device communicatively coupled to the server computer system, the seed recommendations.
    Type: Application
    Filed: October 24, 2019
    Publication date: April 30, 2020
    Inventors: Dongming Jiang, Herbert Ssegane, James C. Moore, III, Jason K. Bull, Liwei Wen, Timothy Reich, Tonya S. Ehlmann, Xiao Yang, Xuefei Wang, Brian Lutz, Guomei Wang