Patents by Inventor YAQI CHEN

YAQI CHEN 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: 11176623
    Abstract: In an embodiment, a computer-implemented method is disclosed. The method comprises causing a camera to continuously capture surroundings to generate multiple images and causing a display device to continuously display the multiple images as the multiple images are generated. In addition, the method comprises processing each of one or more of the multiple images. The processing comprises identifying at least one of a plurality of diseases and calculating at least one disease score associated with the at least one disease for a particular image; causing the display device to display information regarding the at least one disease and the at least one disease score in association with a currently displayed image; receiving input specifying one or more of the at least one disease; and causing the display device to show additional data regarding the one or more diseases, including a remedial measure for the one or more diseases.
    Type: Grant
    Filed: October 7, 2019
    Date of Patent: November 16, 2021
    Assignee: The Climate Corporation
    Inventors: Juan Pablo Bedoya, Victor Stuber, Gerard Guillemette, Joost Kemink, Yaqi Chen, Daniel Williams, Ying She, Marian Farah, Julian Boshard, Wei Guan
  • Patent number: 10755129
    Abstract: In an embodiment, a computer-implemented method of detecting infected objects from large field-of-view images is disclosed. The method comprises receiving, by a processor, a digital image capturing multiple objects; generating, by the processor, a plurality of scaled images from the digital image respectfully corresponding to a plurality of scales; and computing a group of feature matrices for the digital image. The method further comprises, for each of the plurality of scaled images. selecting a list of candidate regions from the scaled image each likely to capture a single object; and for each of the list of candidate regions, performing the following steps: mapping the candidate region back to the digital image to obtain a mapped region; identifying a corresponding portion from each of the group of feature matrices based on the mapping; and determining whether the candidate region is likely to capture the single object infected with a disease based on the group of corresponding portions.
    Type: Grant
    Filed: August 28, 2019
    Date of Patent: August 25, 2020
    Assignee: THE CLIMATE CORPORATION
    Inventors: Yaqi Chen, Wei Guan
  • Publication number: 20200202127
    Abstract: In an embodiment, digital images of agricultural fields are received at an agricultural intelligence processing system. Each digital image includes a set of pixels having pixel values, and each pixel value of a pixel includes a plurality of spectral band intensity values. Each spectral band intensity value describes a spectral band intensity of one band among several bands of electromagnetic radiation. For each of the agricultural fields, spectral band intensity values of each band are preprocessed at a field level using the digital images for that agricultural field resulting in preprocessed intensity values. The preprocessed intensity values are provided as input to a machine learning model. The model generates a predicted yield value for each field. The predicted yield value is used to update field yield maps of agricultural fields for forecasting and can be displayed via a graphical user interface (GUI) of a client computing device.
    Type: Application
    Filed: December 23, 2019
    Publication date: June 25, 2020
    Inventors: Yaqi Chen, Gardar Johannesson, Wei Guan
  • Publication number: 20200051180
    Abstract: In an embodiment, a computer-implemented method is disclosed. The method comprises causing a camera to continuously capture surroundings to generate multiple images and causing a display device to continuously display the multiple images as the multiple images are generated. In addition, the method comprises processing each of one or more of the multiple images. The processing comprises identifying at least one of a plurality of diseases and calculating at least one disease score associated with the at least one disease for a particular image; causing the display device to display information regarding the at least one disease and the at least one disease score in association with a currently displayed image; receiving input specifying one or more of the at least one disease; and causing the display device to show additional data regarding the one or more diseases, including a remedial measure for the one or more diseases.
    Type: Application
    Filed: October 7, 2019
    Publication date: February 13, 2020
    Inventors: JUAN PABLO BEDOYA, VICTOR STUBER, GERARD GUILLEMETTE, JOOST KEMINK, YAQI CHEN, DANIEL WILLIAMS, YING SHE, MARIAN FARAH, JULIAN BOSHARD, WEI GUAN
  • Publication number: 20190384998
    Abstract: In an embodiment, a computer-implemented method of detecting infected objects from large field-of-view images is disclosed. The method comprises receiving, by a processor, a digital image capturing multiple objects; generating, by the processor, a plurality of scaled images from the digital image respectfully corresponding to a plurality of scales; and computing a group of feature matrices for the digital image. The method further comprises, for each of the plurality of scaled images. selecting a list of candidate regions from the scaled image each likely to capture a single object; and for each of the list of candidate regions, performing the following steps: mapping the candidate region back to the digital image to obtain a mapped region; identifying a corresponding portion from each of the group of feature matrices based on the mapping; and determining whether the candidate region is likely to capture the single object infected with a disease based on the group of corresponding portions.
    Type: Application
    Filed: August 28, 2019
    Publication date: December 19, 2019
    Inventors: Yaqi Chen, Wei Guan
  • Patent number: 10438302
    Abstract: In an embodiment, a computer-implemented method is disclosed. The method comprises causing a camera to continuously capture surroundings to generate multiple images and causing a display device to continuously display the multiple images as the multiple images are generated. In addition, the method comprises processing each of one or more of the multiple images. The processing comprises identifying at least one of a plurality of diseases and calculating at least one disease score associated with the at least one disease for a particular image; causing the display device to display information regarding the at least one disease and the at least one disease score in association with a currently displayed image; receiving input specifying one or more of the at least one disease; and causing the display device to show additional data regarding the one or more diseases, including a remedial measure for the one or more diseases.
    Type: Grant
    Filed: August 28, 2017
    Date of Patent: October 8, 2019
    Assignee: The Climate Corporation
    Inventors: Juan Pablo Bedoya, Victor Stuber, Gerard Guillemette, Joost Kemink, Yaqi Chen, Daniel Williams, Ying She, Marian Farah, Julian Boshard, Wei Guan
  • Patent number: 10423850
    Abstract: In an embodiment, a computer-implemented method of detecting infected objects from large field-of-view images is disclosed. The method comprises receiving, by a processor, a digital image capturing multiple objects; generating, by the processor, a plurality of scaled images from the digital image respectfully corresponding to a plurality of scales; and computing a group of feature matrices for the digital image. The method further comprises, for each of the plurality of scaled images. selecting a list of candidate regions from the scaled image each likely to capture a single object; and for each of the list of candidate regions, performing the following steps: mapping the candidate region back to the digital image to obtain a mapped region; identifying a corresponding portion from each of the group of feature matrices based on the mapping; and determining whether the candidate region is likely to capture the single object infected with a disease based on the group of corresponding portions.
    Type: Grant
    Filed: October 5, 2017
    Date of Patent: September 24, 2019
    Assignee: The Climate Corporation
    Inventors: Yaqi Chen, Wei Guan
  • Publication number: 20190108413
    Abstract: In an embodiment, a computer-implemented method of detecting infected objects from large field-of-view images is disclosed. The method comprises receiving, by a processor, a digital image capturing multiple objects; generating, by the processor, a plurality of scaled images from the digital image respectfully corresponding to a plurality of scales; and computing a group of feature matrices for the digital image. The method further comprises, for each of the plurality of scaled images. selecting a list of candidate regions from the scaled image each likely to capture a single object; and for each of the list of candidate regions, performing the following steps: mapping the candidate region back to the digital image to obtain a mapped region; identifying a corresponding portion from each of the group of feature matrices based on the mapping; and determining whether the candidate region is likely to capture the single object infected with a disease based on the group of corresponding portions.
    Type: Application
    Filed: October 5, 2017
    Publication date: April 11, 2019
    Inventors: YAQI CHEN, WEI GUAN
  • Publication number: 20190066234
    Abstract: In an embodiment, a method of real-time disease recognition in a crop field is disclosed. The method comprises causing a camera to continuously capture surroundings to generate multiple images. The method further comprises causing a display device to continuously display the multiple images as the multiple images are generated. In addition, the method comprises processing each of one or more of the multiple images. The processing comprises identifying at least one of a plurality of diseases and calculating at least one disease score associated with the at least one disease for a particular image; causing the display device to display information regarding the at least one disease and the at least one disease score in association with a currently displayed image; receiving input specifying one or more of the at least one disease; and causing the display device to show additional data regarding the one or more diseases, including a remedial measure for the one or more diseases.
    Type: Application
    Filed: August 28, 2017
    Publication date: February 28, 2019
    Inventors: JUAN PABLO BEDOYA, VICTOR STUBER, GERARD GUILLEMETTE, JOOST KEMINK, YAQI CHEN, DANIEL WILLIAMS, YING SHE, MARIAN FARAH, JULIAN BOSHARD, WEI GUAN