Patents by Inventor TONYA S. EHLMANN
TONYA S. EHLMANN 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: 11861737Abstract: A server computer system receives a dataset of candidate hybrid seeds for planting on one or more target fields, which comprises data regarding one or more hybrid seeds, probability of success values associated with each of the one or more hybrid seeds that describe a probability of a successful yield, and historical agricultural data associated with each of the one or more hybrid seeds further receives one or more properties for one or more target fields, and selects a subset of the one or more hybrid seeds based on the probabilities of success values.Type: GrantFiled: August 29, 2019Date of Patent: January 2, 2024Assignee: CLIMATE LLCInventors: Jason Kendrick Bull, Timothy Reich, Yao Xie, Xiao Yang, Tonya S. Ehlmann
-
Publication number: 20230351226Abstract: 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: ApplicationFiled: February 27, 2023Publication date: November 2, 2023Inventors: 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
-
Publication number: 20230177622Abstract: Systems and methods are provided for generating a set of target seeds with optimal yield and risk performance. One example computer-implemented method includes generating, by a server, representative yield values for a group of seeds based on historical agricultural data, generating a dataset of risk values for the seeds, and generating a dataset of target seeds from the seeds for planting in one or more target fields based on: the dataset of risk values, the representative yield values, and properties for the target field(s). The method also includes generating, by the server, allocation instructions for the target seeds included in the dataset of target seeds, where the allocation instructions are indicative of, for each target seed, a planting quantity for the target seed and a planting location for the target seed within the target field(s).Type: ApplicationFiled: January 12, 2023Publication date: June 8, 2023Inventors: Jason Kendrick BULL, Tonya S. EHLMANN, Timothy REICH, Bruce J. SCHNICKER, Matthew SORGE, Yao XIE, Xiao YANG
-
Publication number: 20230169428Abstract: Systems and methods are provided for managing hybrid seeds for planting. One example computer-implemented method includes receiving a first dataset of hybrid seeds for planting on a target field, where the first dataset includes probability of success values and historical agricultural data for the hybrid seeds, and selecting a subset of hybrid seeds of the first dataset based on the probability of success values. The method also includes generating representative yield values for the subset of hybrid seeds based on the historical agricultural data, generating risk values for the subset of hybrid seeds based on the historical agricultural data, and generating a second dataset of hybrid seeds for planting based on the risk values, the representative yield values, and properties for the target field. The method further includes causing displaying the representative yield values and the risk values related to the second dataset of hybrid seeds for planting.Type: ApplicationFiled: January 30, 2023Publication date: June 1, 2023Inventors: Jason Kendrick BULL, Tonya S. EHLMANN, Dongming JIANG, Timothy REICH, Samuel Alexander WIMBUSH, Yao XIE, Xiao YANG
-
Patent number: 11593674Abstract: 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: GrantFiled: October 24, 2019Date of Patent: February 28, 2023Assignee: CLIMATE LLCInventors: 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
-
Patent number: 11568340Abstract: Techniques are provided for generating target success group of hybrid seeds for target fields include a server receiving agricultural data records that represent crop seed data describing seed and yield properties of hybrid seeds and first field geo-location data for agricultural fields where the hybrid seeds were planted. The server receives second geo-locations data for target fields where hybrid seeds are to be planted. The server generates a dataset of hybrid seed properties that include yield values and environmental classifications for hybrid seeds and then a dataset of success probability scores that describe the probability of a successful yield on the target fields based on the dataset of hybrid seed properties and the second geo-location data. The server generates target success yield group of hybrid seeds and probability of success values based on success probability scores and a yield threshold. The server causes display of the target success yield group.Type: GrantFiled: November 9, 2017Date of Patent: January 31, 2023Assignee: CLIMATE LLCInventors: Tonya S Ehlmann, Xiao Yang, Dongming Jiang, Jason Kendrick Bull, Samuel Alexander Wimbush, Yao Xie, Timothy Reich
-
Patent number: 11562444Abstract: Techniques are provided for generating a set of target hybrid seeds with optimal yield and risk performance, including a server receiving a candidate set of hybrid seeds along with probability of successful yield values, associated historical agricultural data and property information, and selecting a subset of the hybrid seeds that have probability of success values greater than a filtering threshold. The server generates representative yield values for hybrid seeds based on the historical agricultural data and risk values for each hybrid seed. The server generates a dataset of target hybrid seeds for planting based on the risk values, the yield values, and the properties for the target fields. The dataset of target hybrid seeds includes target hybrid seeds that meet a specific threshold for a range of risk values. The server causes display of the dataset of target hybrid seeds including yield values and risk values for the target fields.Type: GrantFiled: November 9, 2017Date of Patent: January 24, 2023Assignee: CLIMATE LLCInventors: Timothy Reich, Xiao Yang, Matthew Sorge, Tonya S Ehlmann, Jason Kendrick Bull, Bruce J. Schnicker, Yao Xie
-
Publication number: 20210342719Abstract: Embodiments generate digital plans for agricultural fields. In an embodiment, a model receives digital inputs including stress risk data, product maturity data, field location data, planting date data, and/or harvest date data. The model mathematically correlates sets of digital inputs with threshold data associated with the stress risk data. The model is used to generate stress risk prediction data for a set of product maturity and field location combinations. In a digital plan, product maturity data or planting date data or harvest date data or field location data can be adjusted based on the stress risk prediction data. A digital plan can be transmitted to a field manager computing device. An agricultural apparatus can be moved in response to a digital plan.Type: ApplicationFiled: May 6, 2021Publication date: November 4, 2021Inventors: Shilpa Sood, Matthew Sorge, Nikisha Shah, Timothy Reich, Herbert Ssegane, Jason Kendrick Bull, Tonya S. Ehlmann, Morrison Jacobs, Susan Andrea Macisaac, Bruce J. Schnicker, Yao Xie, Allan Trapp, Xiao Yang
-
Patent number: 11017306Abstract: Embodiments generate digital plans for agricultural fields. In an embodiment, a model receives digital inputs including stress risk data, product maturity data, field location data, planting date data, and/or harvest date data. The model mathematically correlates sets of digital inputs with threshold data associated with the stress risk data. The model is used to generate stress risk prediction data for a set of product maturity and field location combinations. In a digital plan, product maturity data or planting date data or harvest date data or field location data can be adjusted based on the stress risk prediction data. A digital plan can be transmitted to a field manager computing device. An agricultural apparatus can be moved in response to a digital plan.Type: GrantFiled: October 23, 2019Date of Patent: May 25, 2021Assignee: THE CLIMATE CORPORATIONInventors: Shilpa Sood, Matthew Sorge, Nikisha Shah, Timothy Reich, Herbert Ssegane, Jason Kendrick Bull, Tonya S. Ehlmann, Morrison Jacobs, Susan Andrea Macisaac, Bruce J. Schnicker, Yao Xie, Allan Trapp, Xiao Yang
-
Publication number: 20200134486Abstract: 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: ApplicationFiled: October 24, 2019Publication date: April 30, 2020Inventors: 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: 20200134485Abstract: Embodiments generate digital plans for agricultural fields. In an embodiment, a model receives digital inputs including stress risk data, product maturity data, field location data, planting date data, and/or harvest date data. The model mathematically correlates sets of digital inputs with threshold data associated with the stress risk data. The model is used to generate stress risk prediction data for a set of product maturity and field location combinations. In a digital plan, product maturity data or planting date data or harvest date data or field location data can be adjusted based on the stress risk prediction data. A digital plan can be transmitted to a field manager computing device. An agricultural apparatus can be moved in response to a digital plan.Type: ApplicationFiled: October 23, 2019Publication date: April 30, 2020Inventors: Shilpa Sood, Matthew Sorge, Nikisha Shah, Timothy Reich, Herbert Ssegane, Jason Kendrick Bull, Tonya S. Ehlmann, Morrison Jacobs, Susan Andrea Macisaac, Bruce J. Schnicker, Yao Xie, Allan Trapp, Xiao Yang
-
Publication number: 20190138962Abstract: Techniques are provided for generating target success group of hybrid seeds for target fields include a server receiving agricultural data records that represent crop seed data describing seed and yield properties of hybrid seeds and first field geo-location data for agricultural fields where the hybrid seeds were planted. The server receives second geo-locations data for target fields where hybrid seeds are to be planted. The server generates a dataset of hybrid seed properties that include yield values and environmental classifications for hybrid seeds and then a dataset of success probability scores that describe the probability of a successful yield on the target fields based on the dataset of hybrid seed properties and the second geo-location data. The server generates target success yield group of hybrid seeds and probability of success values based on success probability scores and a yield threshold. The server causes display of the target success yield group.Type: ApplicationFiled: November 9, 2017Publication date: May 9, 2019Inventors: TONYA S. EHLMANN, XIAO YANG, DONGMING JIANG, JASON KENDRICK BULL, Samuel Alexander Wimbush, YAO XIE, TIMOTHY REICH
-
Publication number: 20190139158Abstract: Techniques are provided for generating a set of target hybrid seeds with optimal yield and risk performance, including a server receiving a candidate set of hybrid seeds along with probability of successful yield values, associated historical agricultural data and property information, and selecting a subset of the hybrid seeds that have probability of success values greater than a filtering threshold. The server generates representative yield values for hybrid seeds based on the historical agricultural data and risk values for each hybrid seed. The server generates a dataset of target hybrid seeds for planting based on the risk values, the yield values, and the properties for the target fields. The dataset of target hybrid seeds includes target hybrid seeds that meet a specific threshold for a range of risk values. The server causes display of the dataset of target hybrid seeds including yield values and risk values for the target fields.Type: ApplicationFiled: November 9, 2017Publication date: May 9, 2019Inventors: TIMOTHY REICH, XIAO YANG, MATTHEW SORGE, TONYA S. EHLMANN, JASON KENDRICK BULL, BRUCE J. SCHNICKER, YAO XIE