Patents by Inventor Ben Allen

Ben Allen 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: 20250378507
    Abstract: A crop prediction system performs various machine learning operations to predict crop production and to identify a set of farming operations that, if performed, optimize crop production. The crop prediction system uses crop prediction models trained using various machine learning operations based on geographic and agronomic information. Responsive to receiving a request from a grower, the crop prediction system can access information representation of a portion of land corresponding to the request, such as the location of the land and corresponding weather conditions and soil composition. The crop prediction system applies one or more crop prediction models to the access information to predict a crop production and identify an optimized set of farming operations for the grower to perform.
    Type: Application
    Filed: January 17, 2025
    Publication date: December 11, 2025
    Inventors: David Patrick Perry, Geoffrey Albert von Maltzahn, Robert Berendes, Eric Michael Jeck, Barry Loyd Knight, Rachel Ariel Raymond, Ponsi Trivisvavet, Justin Y H Wong, Neal Hitesh Rajdev, Marc-Cedric Joseph Meunier, Casey James Leist, Pranav Ram Tadi, Andrea Lee Flaherty, Charles David Brummitt, Naveen Neil Sinha, Jordan Lambert, Jonathan Hennek, Carlos Becco, Mark Allen, Daniel Bachner, Fernando Derossi, Ewan Lamont, Rob Lowenthal, Dan Creagh, Steve Abramson, Ben Allen, Jyoti Shankar, Chris Moscardini, Jeremy Crane, David Weisman, Gerard Keating, Lauren Moores, William Pate
  • Patent number: 12243112
    Abstract: A crop prediction system performs various machine learning operations to predict crop production and to identify a set of farming operations that, if performed, optimize crop production. The crop prediction system uses crop prediction models trained using various machine learning operations based on geographic and agronomic information. Responsive to receiving a request from a grower, the crop prediction system can access information representation of a portion of land corresponding to the request, such as the location of the land and corresponding weather conditions and soil composition. The crop prediction system applies one or more crop prediction models to the access information to predict a crop production and identify an optimized set of farming operations for the grower to perform.
    Type: Grant
    Filed: August 25, 2023
    Date of Patent: March 4, 2025
    Assignee: Indigo Ag, Inc.
    Inventors: David Patrick Perry, Geoffrey Albert von Maltzahn, Robert Berendes, Eric Michael Jeck, Barry Loyd Knight, Rachel Ariel Raymond, Ponsi Trivisvavet, Justin Y H Wong, Neal Hitesh Rajdev, Marc-Cedric Joseph Meunier, Casey James Leist, Pranav Ram Tadi, Andrea Lee Flaherty, Charles David Brummitt, Naveen Neil Sinha, Jordan Lambert, Jonathan Hennek, Carlos Becco, Mark Allen, Daniel Bachner, Fernando Derossi, Ewan Lamont, Rob Lowenthal, Dan Creagh, Steve Abramson, Ben Allen, Jyoti Shankar, Chris Moscardini, Jeremy Crane, David Weisman, Gerard Keating, Lauren Moores, William Pate
  • Publication number: 20240350883
    Abstract: A game board including a top panel and a plank and a game that comprises one or more of the game boards. A plank extends from the back end of the game board. The top surface of the game board is flat and includes a surrounding area and one or more target areas. A projectile comprising a weighted ball is thrown by players onto the top panel or plank surface. A method for playing the game involves two to four players who will throw or roll the balls to land on the desired location of the top panel or plank area to score points toward winning the game. The game includes multiple rounds.
    Type: Application
    Filed: April 19, 2024
    Publication date: October 24, 2024
    Applicant: Double G Games LLC
    Inventors: Gary Graham, Hudson Graham, James Faucher, Luke Lundquist, Dan Cook, Ben Allen, Isaac Allen
  • Publication number: 20240127367
    Abstract: A crop prediction system performs various machine learning operations to predict crop production and to identify a set of farming operations that, if performed, optimize crop production. The crop prediction system uses crop prediction models trained using various machine learning operations based on geographic and agronomic information. Responsive to receiving a request from a grower, the crop prediction system can access information representation of a portion of land corresponding to the request, such as the location of the land and corresponding weather conditions and soil composition. The crop prediction system applies one or more crop prediction models to the access information to predict a crop production and identify an optimized set of farming operations for the grower to perform.
    Type: Application
    Filed: August 25, 2023
    Publication date: April 18, 2024
    Inventors: David Patrick Perry, Geoffrey Albert von Maltzahn, Robert Berendes, Eric Michael Jeck, Barry Loyd Knight, Rachel Ariel Raymond, Ponsi Trivisvavet, Justin Y H Wong, Neal Hitesh Rajdev, Marc-Cedric Joseph Meunier, Casey James Leist, Pranav Ram Tadi, Andrea Lee Flaherty, Charles David Brummitt, Naveen Neil Sinha, Jordan Lambert, Jonathan Hennek, Carlos Becco, Mark Allen, Daniel Bachner, Fernando Derossi, Ewan Lamont, Rob Lowenthal, Dan Creagh, Steve Abramson, Ben Allen, Jyoti Shankar, Chris Moscardini, Jeremy Crane, David Weisman, Gerard Keating, Lauren Moores, William Pate
  • Publication number: 20230329236
    Abstract: The present invention relates to the use of compounds of Formula (I) as agrochemicals, preferably herbicides, wherein X, X?, X?, R2, R3, R4 and R5 are as defined herein. The invention further relates to agrochemical compositions comprising a compound of Formula (I) and to the use of such compositions for controlling weeds at a locus, particularly among useful crops. The invention further relates to select compounds of Formula (I).
    Type: Application
    Filed: September 8, 2021
    Publication date: October 19, 2023
    Applicant: MoA Technology Limited
    Inventors: Ian HOULSBY, Ben ALLEN
  • Patent number: 11776071
    Abstract: A crop prediction system performs various machine learning operations to predict crop production and to identify a set of farming operations that, if performed, optimize crop production. The crop prediction system uses crop prediction models trained using various machine learning operations based on geographic and agronomic information. Responsive to receiving a request from a grower, the crop prediction system can access information representation of a portion of land corresponding to the request, such as the location of the land and corresponding weather conditions and soil composition. The crop prediction system applies one or more crop prediction models to the access information to predict a crop production and identify an optimized set of farming operations for the grower to perform.
    Type: Grant
    Filed: March 11, 2021
    Date of Patent: October 3, 2023
    Assignee: INDIGO AG, INC.
    Inventors: David Patrick Perry, Geoffrey Albert von Maltzahn, Robert Berendes, Eric Michael Jeck, Barry Loyd Knight, Rachel Ariel Raymond, Ponsi Trivisvavet, Justin Y H Wong, Neal Hitesh Rajdev, Marc-Cedric Joseph Meunier, Casey James Leist, Pranav Ram Tadi, Andrea Lee Flaherty, Charles David Brummitt, Naveen Neil Sinha, Jordan Lambert, Jonathan Hennek, Carlos Becco, Mark Allen, Daniel Bachner, Fernando Derossi, Ewan Lamont, Rob Lowenthal, Dan Creagh, Steve Abramson, Ben Allen, Jyoti Shankar, Chris Moscardini, Jeremy Crane, David Weisman, Gerard Keating, Lauren Moores, William Pate
  • Publication number: 20230255205
    Abstract: The present invention relates to the use of compounds of Formula (I) as herbicides, wherein Z, W, X1-X4, R1, F2, R3, R4, m and n are as defined herein. The invention further relates to agrochemical compositions comprising a compound of Formula (I) and to the use of such compositions for controlling weeds at a locus, particularly among useful crops. The invention further relates to select compounds of Formula (I).
    Type: Application
    Filed: July 8, 2021
    Publication date: August 17, 2023
    Applicant: MoA Technology Limited
    Inventors: Ben ALLEN, Ian HOULSBY
  • Patent number: 11263707
    Abstract: A crop prediction system performs various machine learning operations to predict crop production and to identify a set of farming operations that, if performed, optimize crop production. The crop prediction system uses crop prediction models trained using various machine learning operations based on geographic and agronomic information. Responsive to receiving a request from a grower, the crop prediction system can access information representation of a portion of land corresponding to the request, such as the location of the land and corresponding weather conditions and soil composition. The crop prediction system applies one or more crop prediction models to the access information to predict a crop production and identify an optimized set of farming operations for the grower to perform.
    Type: Grant
    Filed: August 7, 2018
    Date of Patent: March 1, 2022
    Assignee: INDIGO AG, INC.
    Inventors: David Patrick Perry, Geoffrey Albert von Maltzahn, Robert Berendes, Eric Michael Jeck, Barry Loyd Knight, Rachel Ariel Raymond, Ponsi Trivisvavet, Justin Y H Wong, Neal Hitesh Rajdev, Marc-Cedric Joseph Meunier, Casey James Leist, Pranav Ram Tadi, Andrea Lee Flaherty, Charles David Brummitt, Naveen Neil Sinha, Jordan Lambert, Jonathan Hennek, Carlos Becco, Mark Allen, Daniel Bachner, Fernando Derossi, Ewan Lamont, Rob Lowenthal, Dan Creagh, Steve Abramson, Ben Allen, Jyoti Shankar, Chris Moscardini, Jeremy Crane, David Weisman, Gerard Keating, Lauren Moores, William Pate
  • Publication number: 20210224927
    Abstract: A crop prediction system performs various machine learning operations to predict crop production and to identify a set of farming operations that, if performed, optimize crop production. The crop prediction system uses crop prediction models trained using various machine learning operations based on geographic and agronomic information. Responsive to receiving a request from a grower, the crop prediction system can access information representation of a portion of land corresponding to the request, such as the location of the land and corresponding weather conditions and soil composition. The crop prediction system applies one or more crop prediction models to the access information to predict a crop production and identify an optimized set of farming operations for the grower to perform.
    Type: Application
    Filed: March 11, 2021
    Publication date: July 22, 2021
    Inventors: David Patrick Perry, Geoffrey Albert von Maltzahn, Robert Berendes, Eric Michael Jeck, Barry Loyd Knight, Rachel Ariel Raymond, Ponsi Trivisvavet, Justin Y. H. Wong, Neal Hitesh Rajdev, Marc-Cedric Joseph Meunier, Casey James Leist, Pranav Ram Tadi, Andrea Lee Flaherty, Charles David Brummitt, Naveen Neil Sinha, Jordan Lambert, Jonathan Hennek, Carlos Becco, Mark Allen, Daniel Bachner, Fernando Derossi, Ewan Lamont, Rob Lowenthal, Dan Creagh, Steve Abramson, Ben Allen, Jyoti Shankar, Chris Moscardini, Jeremy Crane, David Weisman, Gerard Keating, Lauren Moores, William Pate
  • Publication number: 20210174484
    Abstract: A system and method for inspecting a can seam includes capturing or receiving images of a can. The images including at least an image of a can body or wall and a can seam. Dimensions or parameters of the can are calculated based on the images of the can body or the can seam. The dimensions or parameters are compared to a predetermined range, value, or profile associated with or corresponding to a compliant can (e.g., a non-defective can) to identify any deviations from the predetermined value. Upon identifying a deviation based on the comparison, the deviation may be associated with a particular defect, and an indication of the identified defect is provided (e.g., via a display or user interface (e.g., a graphic user interface)).
    Type: Application
    Filed: December 4, 2020
    Publication date: June 10, 2021
    Inventors: Neil Morris, Ben Allen
  • Patent number: 10809052
    Abstract: Disclosed is an automated system for measuring seam parameters of a crimped closure can and for determining seam tightness using the measured parameters. The system includes an image recording device with a magnifying lens which receives an image of a cross-sectioned seam. The automated system detects voids in the seam and compares the characteristics of those voids against predetermined standards to identify improperly formed seams and alert an operator.
    Type: Grant
    Filed: September 19, 2019
    Date of Patent: October 20, 2020
    Inventors: Neil Morris, Ben Allen
  • Publication number: 20190050948
    Abstract: A crop prediction system performs various machine learning operations to predict crop production and to identify a set of farming operations that, if performed, optimize crop production. The crop prediction system uses crop prediction models trained using various machine learning operations based on geographic and agronomic information. Responsive to receiving a request from a grower, the crop prediction system can access information representation of a portion of land corresponding to the request, such as the location of the land and corresponding weather conditions and soil composition. The crop prediction system applies one or more crop prediction models to the access information to predict a crop production and identify an optimized set of farming operations for the grower to perform.
    Type: Application
    Filed: August 7, 2018
    Publication date: February 14, 2019
    Inventors: David Patrick Perry, Geoffrey Albert von Maltzahn, Robert Berendes, Eric Michael Jeck, Barry Loyd Knight, Rachel Ariel Raymond, Ponsi Trivisvavet, Justin Y H Wong, Neal Hitesh Rajdev, Marc-Cedric Joseph Meunier, Charles Vincent Michell, JR., Casey James Leist, Pranav Ram Tadi, Andrea Lee Flaherty, Charles David Brummitt, Naveen Neil Sinha, Jordan Lambert, Jonathan Hennek, Carlos Becco, Mark Allen, Daniel Bachner, Fernando Derossi, Ewan Lamont, Rob Lowenthal, Dan Creagh, Steve Abramson, Ben Allen, Jyoti Shankar, Chris Moscardini, Jeremy Crane, David Weisman, Gerard Keating, Lauren Moores, William Pate
  • Patent number: 9873499
    Abstract: An asymmetric propulsion mechanism capable of providing both axial thrust as well as lateral maneuverability from a single axis of rotation is described. The mechanism may be used on aquatic vehicles to minimize cost and maximize reliability and endurance. The mechanism comprises one or more propeller blades disposed asymmetrically around a rotating hub under the guidance of a control system including a motor capable of driving the propeller at various radial speeds throughout the course of a single revolution.
    Type: Grant
    Filed: April 2, 2015
    Date of Patent: January 23, 2018
    Assignee: Woods Hole Oceanographic Institution
    Inventors: Thomas Austin, Michael Purcell, Frederic Jaffre, Jeffrey Kaeli, Ben Allen, Robin Littlefield
  • Publication number: 20170015398
    Abstract: An asymmetric propulsion mechanism capable of providing both axial thrust as well as lateral maneuverability from a single axis of rotation is described. The mechanism may be used on aquatic vehicles to minimize cost and maximize reliability and endurance. The mechanism comprises one or more propeller blades disposed asymmetrically around a rotating hub under the guidance of a control system including a motor capable of driving the propeller at various radial speeds throughout the course of a single revolution.
    Type: Application
    Filed: April 2, 2015
    Publication date: January 19, 2017
    Inventors: Thomas AUSTIN, Michael PURCELL, Frederic JAFFRE, Jeffrey KAELI, Ben ALLEN, Robin LITTLEFIELD
  • Patent number: 7802793
    Abstract: A game of chance playable by two or more players and a method of playing the game, the game of chance comprising a gaming ticket (2) including removable first portions (8) removable by a first player to reveal first indicia and removable second portions (10) removable by a second player to reveal second indicia, wherein the first and second players compete against each other by removing the respective removable first indicia until a winner of the game is determined.
    Type: Grant
    Filed: September 30, 2005
    Date of Patent: September 28, 2010
    Assignee: Golden Casket Lottery Corporation Limited
    Inventors: Nicola Jane Mahar, Rachel King, Lisa Waugh, Ben Allen
  • Publication number: 20080252003
    Abstract: A game of chance playable by two or more players and a method of playing the game, the game of chance comprising a gaming ticket (2) including removable first portions (8) removable by a first player to reveal first indicia and removable second portions (10) removable by a second player to reveal second indicia, wherein the first and second players compete against each other by removing the respective removable first indicia until a winner of the game is determined.
    Type: Application
    Filed: September 30, 2005
    Publication date: October 16, 2008
    Applicant: GOLDEN CASKET LOTTERY CORPORATION LIMITED
    Inventors: Nicola Jane Mahar, Rachel King, Lisa Waugh, Ben Allen